The ongoing revolution in information technology is reshaping human life. In the realm of health behavior, wearable technology emerges as a leading digital solution,capturing physical behaviors (i.e., physical activit...The ongoing revolution in information technology is reshaping human life. In the realm of health behavior, wearable technology emerges as a leading digital solution,capturing physical behaviors (i.e., physical activity, sedentary habits, sleep patterns) within the 24-h cycle of daily life. Wearables are applied in research, clinical practice, and as lifestyle devices;most obvious, they promise to be a key element for increasing human physical activity, one of the biggest health challenges nowadays.展开更多
MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices tak...MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.展开更多
Introduction:Consumer wearables increasingly provide users with Composite Health Scores(CHS)–integrated biometric indices that claim to quantify readiness,recovery,stress,or overall well-being.Despite their growing a...Introduction:Consumer wearables increasingly provide users with Composite Health Scores(CHS)–integrated biometric indices that claim to quantify readiness,recovery,stress,or overall well-being.Despite their growing adoption,the validity,transparency,and physiological relevance of these scores remain unclear.This study systematically evaluates CHS fromleading wearablemanufacturers to assess their underlying methodologies,contributors,and scientific basis.Content:Information was synthesised from publicly available company documentation,including technical white papers,user manuals,app interfaces,and research literature where available.We identified 14 CHS across 10 major wearable manufacturers,including Fitbit(Daily Readiness),Garmin(Body Battery^(TM)and Training Readiness),Oura(Readiness and Resilience),WHOOP(Strain,Recovery,and Stress Monitor),Polar(Nightly Recharge^(TM)),Samsung(Energy Score),Suunto(Body Resources),Ultrahuman(Dynamic Recovery),Coros(Daily Stress),and Withings(Health Improvement Score).The most frequently incorporated biometric contributors in this catalogue of CHS were heart rate variability(86%),resting heart rate(79%),physical activity(71%),and sleep duration(71%).However,significant discrepancies were identified in data collection timeframes,metric weighting,and proprietary scoring methodologies.None of the manufacturers disclosed their exact algorithmic formulas,and few provided empirical validation or peer-reviewed evidence supporting the accuracy or clinical relevance of their scores.Summary and outlook:While the concept of CHS represent a promising innovation in digital health,their scientific validity,transparency,and clinical applicability remain uncertain.Future research should focus on establishing standardized sensor fusion frameworks,improving algorithmic transparency,and evaluating CHS across diverse populations.Greater collaboration between industry,researchers,and clinicians is essential to ensure these indices serve as meaningful health metrics rather than opaque consumer tools.展开更多
The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an over...The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an overwhelming tendency,providing powerful tools for remote health monitoring and personal health management.Among many candidates,two-dimensional(2D)materials stand out due to several exotic mechanical,electrical,optical,and chemical properties that can be efficiently integrated into atomic-thin films.While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene,the rapid development of new 2D materials with exotic properties has opened up novel applications,particularly in smart interaction and integrated functionalities.This review aims to consolidate recent progress,highlight the unique advantages of 2D materials,and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices.We begin with an in-depth analysis of the advantages,sensing mechanisms,and potential applications of 2D materials in wearable biodevice fabrication.Following this,we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body.Special attention is given to showcasing the integration of multi-functionality in 2D smart devices,mainly including self-power supply,integrated diagnosis/treatment,and human–machine interaction.Finally,the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of2D materials for advanced biodevices.展开更多
Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids.Wound diagnosis remains challenging,necessitating suitable materials for high-performance ...Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids.Wound diagnosis remains challenging,necessitating suitable materials for high-performance wearable sensors to offer prompt feedback.Existing devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously,which is crucial for obtaining a comprehensive understanding of wound status and optimizing biosensors.Therefore,improving materials and analysis system accuracy is essential.This article introduces the first example of a flexible array capable of detecting pyocyanin,a bacterial virulence factor,while correcting dynamic pH fluctuations.We demonstrate that this combined sensor enhances accuracy by mitigating the impact of pH variability on pyocyanin sensor response.Customized screen-printable inks were developed to enhance analytical performance.The analytical performances of two sensitive sensor systems(i.e.,fully-printed porous graphene/multiwalled carbon nanotube(CNT)and polyaniline/CNT composites for pyocyanin and pH sensors)are evaluated.Partial least square regression is employed to analyze nonzero-order data arrays from square wave voltammetric and potentiometric measurements of pyocyanin and pH sensors to establish a predictive model for pyocyanin concentration in complex fluids.This sensitive and effective strategy shows potential for personalized applications due to its affordability,ease of use,and ability to adjust for dynamic pH changes.展开更多
Wearable wristband systems leverage deep learning to revolutionize hand gesture recognition in daily activities.Unlike existing approaches that often focus on static gestures and require extensive labeled data,the pro...Wearable wristband systems leverage deep learning to revolutionize hand gesture recognition in daily activities.Unlike existing approaches that often focus on static gestures and require extensive labeled data,the proposed wearable wristband with selfsupervised contrastive learning excels at dynamic motion tracking and adapts rapidly across multiple scenarios.It features a four-channel sensing array composed of an ionic hydrogel with hierarchical microcone structures and ultrathin flexible electrodes,resulting in high-sensitivity capacitance output.Through wireless transmission from a Wi-Fi module,the proposed algorithm learns latent features from the unlabeled signals of random wrist movements.Remarkably,only few-shot labeled data are sufficient for fine-tuning the model,enabling rapid adaptation to various tasks.The system achieves a high accuracy of 94.9%in different scenarios,including the prediction of eight-direction commands,and air-writing of all numbers and letters.The proposed method facilitates smooth transitions between multiple tasks without the need for modifying the structure or undergoing extensive task-specific training.Its utility has been further extended to enhance human–machine interaction over digital platforms,such as game controls,calculators,and three-language login systems,offering users a natural and intuitive way of communication.展开更多
Global warming and energy crisis are two major challenges in the new-century.Wearable materials that enable all-seasonal self-adapting thermal comfort without additional energy-input attract significant attention as a...Global warming and energy crisis are two major challenges in the new-century.Wearable materials that enable all-seasonal self-adapting thermal comfort without additional energy-input attract significant attention as a solution to the increasing severity of extreme climate-change.Inspired by autologous temperature-regulation and multidimensional-sensing origins of nature-skin composed of nature collagen fibers,this study engineered a nanoscale wearable natural fibers-derived thermochromic material(TMEH-skin)for robust all-season self-adapting thermal management by tactically integrating traditional immersion and spraying methods with layer-by-layer stacking-strategy.Because of the on-demand multi-functional layer-structure design,TMEH-skin achieves spontaneous~38.16%visible lightmodulation and~95.1%infrared-emission,demonstrating outstanding double-self-switching thermal management origins by simple color-changing without additional energy-input.Moreover,TMEH-skin has gratifying tensile strength of 13.18 MPa,water vapor permeability,electrical-conductivity,and hydrophobicity,further broadening the application potential and scenarios as wearable materials.In applications for military-missions or reconnaissance behind enemy-lines,TMEH-skin robustly integrates the multi-functionalities of wearing-comfort,physiological signal-response capability for accurate transmission of Morse-code,and thermal management performances under special circumstances,indicating its tremendous potential for smart military-applications.Simulation results show that TMEH-skin has prominent energy-saving efficiency in cities with different climate zones.This study provides a new reference to the booming innovation of natural-derived wearable materials for all-seasonal self-adapting thermal management.展开更多
Wearable bioelectronic devices are rapidly evolving towards miniaturization and multifunctionality,with remarkable features such as flexibility and comfort.However,achieving a sustainable power supply for wearable bio...Wearable bioelectronic devices are rapidly evolving towards miniaturization and multifunctionality,with remarkable features such as flexibility and comfort.However,achieving a sustainable power supply for wearable bioelectronic devices is still a great challenge.Triboelectric nanogenerators(TENGs)provide an efficient solution by converting irregular,low-frequency bioenergy from the human body into electrical energy.Beyond sustainably powering wearable bioelectronics,the harvested electrical energy also carries rich information for human body sensing.In this conversion process,the choice of material plays a crucial role in affecting the output performance of the TENGs.Among various materials,silicone rubber(SR)stands out due to its exceptional plasticity,flexibility,comfortability and other favorable properties.Moreover,with appropriate treatment,SR can achieve extreme functionalities such as high robustness,good stability,self-healing capabilities,rapid response,and more.In this review,recent advances in wearable SR-based TENGs(SR-TENGs)are systematically reviewed with a focus on their application in different parts of the human body.Given that the manufacturing method of SR-TENGs largely determines its output performance and sensitivity,this paper introduces the design of SR-TENGs,including material selection,process modulation,and structure optimization.Additionally,this article discusses the current challenges in the SR-TENG fabrication technology and potential future directions,aiming to promote the effective development of SR-TENGs in biomechanical energy harvesting and self-powered sensing applications.展开更多
Wearable electronic textiles(e-textiles)with embedded electronics offer promising solutions for unobtrusive,real-time health monitoring,enhancing healthcare efficiency.However,their adoption is limited by performance ...Wearable electronic textiles(e-textiles)with embedded electronics offer promising solutions for unobtrusive,real-time health monitoring,enhancing healthcare efficiency.However,their adoption is limited by performance and sustainability challenges in materials,manufacturing,and recycling.This study introduces a sustainable paradigm for the fabrication of fully inkjet-printed Smart,Wearable,and Eco-friendly Electronic Textiles(SWEET)with the first comprehensive assessments of the biodegradability and life cycle assessment(LCA).SWEET addresses existing limitations,enabling concurrent and continuous monitoring of human physiology,including skin surface temperature(at temperature coefficient of resistance,TCR value of~-4.4%℃^(-1))and heart rate(-74 beats per minute,bpm)separately and simultaneously like the industry gold standard,using consistent,versatile,and highly efficient inkjet-printed graphene and Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(PEDOT:PSS)-based wearable e-textiles.Demonstrations with a wearable garment on five human participants confirm the system’s capability to monitor their electrocardiogram(ECG)signals and skin temperature.Such sustainable and biodegradable e-textiles decompose by-48%in weight and lost-98%strength over 4months.Life cycle assessment(LCA)reveals that the graphene-based electrode has the lowest climate change impact of-0.037 kg CO_(2) eq,40 times lower than reference electrodes.This approach addresses material and manufacturing challenges,while aligning with environmental responsibility,marking a significant leap forward in sustainable e-textile technology for personalized healthcare management.展开更多
Textiles for health and sporting activity monitoring are on the rise with the advent of smart portable wearables.The intention of this work is to design wireless monitoring wearables,based on widely available textiles...Textiles for health and sporting activity monitoring are on the rise with the advent of smart portable wearables.The intention of this work is to design wireless monitoring wearables,based on widely available textiles and low environmental impact production technologies.Herein we have developed a polymeric ink which is able to functionalize different types of textile fibers(including silver conducting fibers,cotton,and commercial textile)with poly pyrrole.These fibers were weaved together with a thinner silver conducting fiber and carbon fiber to form a touch-sensitive energy harvesting system that would generate an electric output when mechanical pressure is applied to it.Different prototypes were manufactured with loom weaving accessories to simulate real textile cloths.By simple touch,the prototypes produced a maximum voltage of 244 V and a maximum power density of 2.29 W m^(-2).The current generated is then transformed into a digital signal,which is further utilized for human motion or gesture monitorization.The system comprises a wireless block for the Internet of Things(IoT)applicability that will be eventually extended to future remote health and sports monitoring systems.展开更多
Graphene fiber supercapacitors(GFSCs)have garnered significant attention due to their exceptional features,including high power density,rapid charge/discharge rates,prolonged cycling durability,and versatile weaving c...Graphene fiber supercapacitors(GFSCs)have garnered significant attention due to their exceptional features,including high power density,rapid charge/discharge rates,prolonged cycling durability,and versatile weaving capabilities.Nevertheless,inherent challenges in graphene fibers(GFs),particularly the restricted ion-accessible specific surface area(SSA)and sluggish ion transport kinetics,hinder the achievement of optimal capacitance and rate performance.Despite existing reviews on GFSCs,a notable gap exists in thoroughly exploring the kinetics governing the energy storage process in GFSCs.This review aims to address this gap by thoroughly analyzing the energy storage mechanism,fabrication methodologies,property manipulation,and wearable applications of GFSCs.Through theoretical analysis of the energy storage process,specific parameters in advanced GF fabrication methodologies are carefully summarized,which can be used to modulate nano/micro-structures,thereby enhancing energy storage kinetics.In particular,enhanced ion storage is realized by creating more ion-accessible SSA and introducing extra-capacitive components,while accelerated ion transport is achieved by shortening the transport channel length and improving the accessibility of electrolyte ions.Building on the established structure-property relationship,several critical strategies for constructing optimal surface and structure profiles of GF electrodes are summarized.Capitalizing on the exceptional flexibility and wearability of GFSCs,the review further underscores their potential as foundational elements for constructing multifunctional e-textiles using conventional textile technologies.In conclusion,this review provides insights into current challenges and suggests potential research directions for GFSCs.展开更多
Due to its ability to convert body heat into electricity,organic thermoelectric material is considered a promising and smart maintenance-free power source to charge wearable electronics.However,developing flexible n-t...Due to its ability to convert body heat into electricity,organic thermoelectric material is considered a promising and smart maintenance-free power source to charge wearable electronics.However,developing flexible n-type organic thermoelectric materials and wearable p/n junction thermoelectric devices remains challenging.In this work,two insulated polyamides(PA6 and PA66)that have been widely used as fiber materials are employed as novel dopants for converting p-type single-walled carbon nanotubes(SWCNTs)to n-type thermoelectric materials.Because of the electron transferability of the amide group,polyamide-doped SWCNTs exhibit excellent thermopower values as large as-56.0μV K^(-1) for PA66,and-54.5μV K^(-1) for PA6.Thermoelectric devices with five p/n junctions connected in series are fabricated.The testing device produces a thermoelectric voltage of 43.1 mV and generates 1.85μW thermoelectric power under temperature gradients of approximately 80 K.Furthermore,they display charming capability for temperature recognition and monitoring human activities as sensors.These promising results suggest that the flexible polyamide-doped SWCNT composites herein have high application potential as wearable thermoelectric electronics.展开更多
Yongtao Yu,Yuelin Yu et al.Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors.Energy Environ.Mater.2024,7,e12700.On page 4 of this article,the first paragraph of 2.4,...Yongtao Yu,Yuelin Yu et al.Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors.Energy Environ.Mater.2024,7,e12700.On page 4 of this article,the first paragraph of 2.4,line 14(PDF version,same below),there is a spelling mistake of“sui,”.It should be changed to“suitable”.The denominator“dt”in the Equation(3)should be changed to“dt”.展开更多
Wearable electronics incorporating proteins for biocompatibility have garnered significant research attention,given their potential applications in biocompatible medical devices,artificial skin,humanoid robots,and oth...Wearable electronics incorporating proteins for biocompatibility have garnered significant research attention,given their potential applications in biocompatible medical devices,artificial skin,humanoid robots,and other fields.However,a notable challenge exists,as many wearable electronics currently lack those essential properties due to issues such as non-biological compatibility,as well as insufficient mechanical and conductive performance.Here,we have developed a hybrid keratin(KE)hydrogel by incorporating a liquid metal(LM,eutectic gallium-indium alloy)to design a wearable electronic device with excellent biocompatibility,enhanced conductivity,and good mechanical properties.The resulting keratin liquid metal(KELM)hydrogel demonstrates favorable mechanical characteristics,including good tensile strength(166 kPa),impressive stretchability(2600%),and long-term stability.Furthermore,it exhibits good conductivity(6.84 S·m^(-1))and sensitivity as a sensing material(gauge factor(GF)=7.03),rendering it suitable for constructing high-performance strain sensors.Notably,the KELM hydrogel-based wearable electronics extend their functionality to monitoring marine inhabitants'health.This innovative application provides new insights for designing the next generation of biomimetic electronic devices,with potential applications in human-machine interfaces,electronic skin,artificial intelligence,and health monitoring.展开更多
Deep Learning(DL)offers promising solutions for analyzing wearable signals and gaining valuable insights into cognitive disorders.While previous review studies have explored various aspects of DL in cognitive healthca...Deep Learning(DL)offers promising solutions for analyzing wearable signals and gaining valuable insights into cognitive disorders.While previous review studies have explored various aspects of DL in cognitive healthcare,there remains a lack of comprehensive analysis that integrates wearable signals,data processing techniques,and the broader applications,benefits,and challenges of DL methods.Addressing this limitation,our study provides an extensive review of DL’s role in cognitive healthcare,with a particular emphasis on wearables,data processing,and the inherent challenges in this field.This review also highlights the considerable promise of DL approaches in addressing a broad spectrum of cognitive issues.By enhancing the understanding and analysis of wearable signal modalities,DL models can achieve remarkable accuracy in cognitive healthcare.Convolutional Neural Network(CNN),Recurrent Neural Network(RNN),and Long Short-term Memory(LSTM)networks have demonstrated improved performance and effectiveness in the early diagnosis and progression monitoring of neurological disorders.Beyond cognitive impairment detection,DL has been applied to emotion recognition,sleep analysis,stress monitoring,and neurofeedback.These applications lead to advanced diagnosis,personalized treatment,early intervention,assistive technologies,remote monitoring,and reduced healthcare costs.Nevertheless,the integration of DL and wearable technologies presents several challenges,such as data quality,privacy,interpretability,model generalizability,ethical concerns,and clinical adoption.These challenges emphasize the importance of conducting future research in areas such as multimodal signal analysis and explainable AI.The findings of this review aim to benefit clinicians,healthcare professionals,and society by facilitating better patient outcomes in cognitive healthcare.展开更多
Wearable sensors are pivotal for point-of-care diagnostics,yet their application in extreme conditions is rarely conducted.In this work,we present a wearable pH sensor using tungsten oxide aerogel(TOA)as the sensing m...Wearable sensors are pivotal for point-of-care diagnostics,yet their application in extreme conditions is rarely conducted.In this work,we present a wearable pH sensor using tungsten oxide aerogel(TOA)as the sensing material.With the advantages of large specific surface area,high porosity and interconnected network structures,TOA not only provides excellent pH sensing performance but also demonstrates remarkable structural and sensing stability.The potentiometric pH sensor exhibits a high sensitivity(−63.70 mV/pH),a low detectable limit(0.05)and a superior stability(maintained over 50,000 s).Integrated with a Bluetooth module,the wearable sensor achieves non-invasive and real-time pH monitoring on the human skin with minimal deviation(1.91%)compared to the commercial pH meter.More importantly,the anti-impact behaviors of the TOA-based sensing materials and chip,along with the pH wearable sensor on a pig exhibit an outstanding shock-resistance ability,with variations no more than 7.17%under an impact of 118.38 kPa.Therefore,this study shows great promise for the aerogel-based personalized health management in the extreme environment.展开更多
Imagine a beanie that“sees”traffic lights for the visually impaired,or a shirt that doubles as a high-speed data receiver.These aren’t sci-fi fantasies-they’re the first threads of a revolution sparked by ultra-th...Imagine a beanie that“sees”traffic lights for the visually impaired,or a shirt that doubles as a high-speed data receiver.These aren’t sci-fi fantasies-they’re the first threads of a revolution sparked by ultra-thin,flexible semiconductor fibers.In a Nature study published February 2024,researchers from the Chinese Academy of Sciences and Nanyang Technological University unveiled a breakthrough in producing high-performance optoelectronic fibers,overcoming decades-old engineering hurdles.展开更多
Wearable flexible sensor devices have the characteristics of lightweight and miniaturization.Currently,power supply and detection components limit the portability of wearable flexible sensor devices.Meanwhile,conventi...Wearable flexible sensor devices have the characteristics of lightweight and miniaturization.Currently,power supply and detection components limit the portability of wearable flexible sensor devices.Meanwhile,conventional liquid electrolytes are unsuitable for the integration of sensing devices.To address these constraints,wearable biofuel cells and flexible electrochromic displays have been introduced,which can improve integration with other devices,safety,and color-coded display data.Meanwhile,electrode chips prepared through screen printing technology can further improve portability.In this work,a wearable sensor device with screen-printed chips was constructed and used for non-invasive detection of glucose.Agarose gel electrolytes doped with PDA-CNTs were prepared,and the mechanical strength and moisture retention were significantly improved compared with traditional gel electrolytes.Glucose in interstitial fluid was non-invasive extracted to the skin surface using reverse iontophoresis.As a biofuel for wearable biofuel cells,glucose drives self-powered sensor and electrochromic display to produce color change,allowing for visually measurement of glucose levels in body fluids.Accurate detection results can be visualized by reading the RGB value with a cell phone.展开更多
In a recent study,Prof.Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled"Smart photonic wristband for pulse wave monitoring".The paper introduces nove...In a recent study,Prof.Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled"Smart photonic wristband for pulse wave monitoring".The paper introduces novel realization of a sensor that us-es a polymer optical multi-mode fiber to sense pulse wave bio-signal from a wrist by analyzing the specklegram mea-sured at the output of the fiber.Applying machine learning techniques over the pulse wave signal allowed medical diag-nostics and recognizing different gestures with accuracy rate of 95%.展开更多
Inertial Sensor-based Daily Activity Recognition(IS-DAR)requires adaptable,data-efficient methods for effective multi-sensor use.This study presents an advanced detection system using body-worn sensors to accurately r...Inertial Sensor-based Daily Activity Recognition(IS-DAR)requires adaptable,data-efficient methods for effective multi-sensor use.This study presents an advanced detection system using body-worn sensors to accurately recognize activities.A structured pipeline enhances IS-DAR by applying signal preprocessing,feature extraction and optimization,followed by classification.Before segmentation,a Chebyshev filter removes noise,and Blackman window-ing improves signal representation.Discriminative features-Gaussian Mixture Model(GMM)with Mel-Frequency Cepstral Coefficients(MFCC),spectral entropy,quaternion-based features,and Gammatone Cepstral Coefficients(GCC)-are fused to expand the feature space.Unlike existing approaches,the proposed IS-DAR system uniquely inte-grates diverse handcrafted features using a novel fusion strategy combined with Bayesian-based optimization,enabling a more accurate and generalized activity recognition.The key contribution lies in the joint optimization and fusion of features via Bayesian-based subset selection,resulting in a compact and highly discriminative feature representation.These features are then fed into a Convolutional Neural Network(CNN)to effectively detect spatial-temporal patterns in activity signals.Testing on two public datasets-IM-WSHA and ENABL3S-achieved accuracy levels of 93.0%and 92.0%,respectively.The integration of advanced feature extraction methods with fusion and optimization techniques significantly enhanced detection performance,surpassing traditional methods.The obtained results establish the effectiveness of the proposed IS-DAR system for deployment in real-world activity recognition applications.展开更多
基金funded in part by the German Research Foundation(Grant reference:496846758).
文摘The ongoing revolution in information technology is reshaping human life. In the realm of health behavior, wearable technology emerges as a leading digital solution,capturing physical behaviors (i.e., physical activity, sedentary habits, sleep patterns) within the 24-h cycle of daily life. Wearables are applied in research, clinical practice, and as lifestyle devices;most obvious, they promise to be a key element for increasing human physical activity, one of the biggest health challenges nowadays.
文摘MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.
基金funded by the Health Research Board in Ireland(Grant ID:HRB ILP-PHR-2024-005)Research Ireland(Grant ID:12/RC/2289_P2).
文摘Introduction:Consumer wearables increasingly provide users with Composite Health Scores(CHS)–integrated biometric indices that claim to quantify readiness,recovery,stress,or overall well-being.Despite their growing adoption,the validity,transparency,and physiological relevance of these scores remain unclear.This study systematically evaluates CHS fromleading wearablemanufacturers to assess their underlying methodologies,contributors,and scientific basis.Content:Information was synthesised from publicly available company documentation,including technical white papers,user manuals,app interfaces,and research literature where available.We identified 14 CHS across 10 major wearable manufacturers,including Fitbit(Daily Readiness),Garmin(Body Battery^(TM)and Training Readiness),Oura(Readiness and Resilience),WHOOP(Strain,Recovery,and Stress Monitor),Polar(Nightly Recharge^(TM)),Samsung(Energy Score),Suunto(Body Resources),Ultrahuman(Dynamic Recovery),Coros(Daily Stress),and Withings(Health Improvement Score).The most frequently incorporated biometric contributors in this catalogue of CHS were heart rate variability(86%),resting heart rate(79%),physical activity(71%),and sleep duration(71%).However,significant discrepancies were identified in data collection timeframes,metric weighting,and proprietary scoring methodologies.None of the manufacturers disclosed their exact algorithmic formulas,and few provided empirical validation or peer-reviewed evidence supporting the accuracy or clinical relevance of their scores.Summary and outlook:While the concept of CHS represent a promising innovation in digital health,their scientific validity,transparency,and clinical applicability remain uncertain.Future research should focus on establishing standardized sensor fusion frameworks,improving algorithmic transparency,and evaluating CHS across diverse populations.Greater collaboration between industry,researchers,and clinicians is essential to ensure these indices serve as meaningful health metrics rather than opaque consumer tools.
基金the support from the National Natural Science Foundation of China(22272004,62272041)the Fundamental Research Funds for the Central Universities(YWF-22-L-1256)+1 种基金the National Key R&D Program of China(2023YFC3402600)the Beijing Institute of Technology Research Fund Program for Young Scholars(No.1870011182126)。
文摘The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an overwhelming tendency,providing powerful tools for remote health monitoring and personal health management.Among many candidates,two-dimensional(2D)materials stand out due to several exotic mechanical,electrical,optical,and chemical properties that can be efficiently integrated into atomic-thin films.While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene,the rapid development of new 2D materials with exotic properties has opened up novel applications,particularly in smart interaction and integrated functionalities.This review aims to consolidate recent progress,highlight the unique advantages of 2D materials,and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices.We begin with an in-depth analysis of the advantages,sensing mechanisms,and potential applications of 2D materials in wearable biodevice fabrication.Following this,we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body.Special attention is given to showcasing the integration of multi-functionality in 2D smart devices,mainly including self-power supply,integrated diagnosis/treatment,and human–machine interaction.Finally,the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of2D materials for advanced biodevices.
基金the Talent Management Project of Prince of Songkla University
文摘Wearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids.Wound diagnosis remains challenging,necessitating suitable materials for high-performance wearable sensors to offer prompt feedback.Existing devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously,which is crucial for obtaining a comprehensive understanding of wound status and optimizing biosensors.Therefore,improving materials and analysis system accuracy is essential.This article introduces the first example of a flexible array capable of detecting pyocyanin,a bacterial virulence factor,while correcting dynamic pH fluctuations.We demonstrate that this combined sensor enhances accuracy by mitigating the impact of pH variability on pyocyanin sensor response.Customized screen-printable inks were developed to enhance analytical performance.The analytical performances of two sensitive sensor systems(i.e.,fully-printed porous graphene/multiwalled carbon nanotube(CNT)and polyaniline/CNT composites for pyocyanin and pH sensors)are evaluated.Partial least square regression is employed to analyze nonzero-order data arrays from square wave voltammetric and potentiometric measurements of pyocyanin and pH sensors to establish a predictive model for pyocyanin concentration in complex fluids.This sensitive and effective strategy shows potential for personalized applications due to its affordability,ease of use,and ability to adjust for dynamic pH changes.
基金supported by the Research Grant Fund from Kwangwoon University in 2023,the National Natural Science Foundation of China under Grant(62311540155)the Taishan Scholars Project Special Funds(tsqn202312035)the open research foundation of State Key Laboratory of Integrated Chips and Systems.
文摘Wearable wristband systems leverage deep learning to revolutionize hand gesture recognition in daily activities.Unlike existing approaches that often focus on static gestures and require extensive labeled data,the proposed wearable wristband with selfsupervised contrastive learning excels at dynamic motion tracking and adapts rapidly across multiple scenarios.It features a four-channel sensing array composed of an ionic hydrogel with hierarchical microcone structures and ultrathin flexible electrodes,resulting in high-sensitivity capacitance output.Through wireless transmission from a Wi-Fi module,the proposed algorithm learns latent features from the unlabeled signals of random wrist movements.Remarkably,only few-shot labeled data are sufficient for fine-tuning the model,enabling rapid adaptation to various tasks.The system achieves a high accuracy of 94.9%in different scenarios,including the prediction of eight-direction commands,and air-writing of all numbers and letters.The proposed method facilitates smooth transitions between multiple tasks without the need for modifying the structure or undergoing extensive task-specific training.Its utility has been further extended to enhance human–machine interaction over digital platforms,such as game controls,calculators,and three-language login systems,offering users a natural and intuitive way of communication.
基金the Institute of Biomass&Functional Materials of Shaanxi University of Science and Technology for funding this research workfinancially supported by the National Natural Science Foundation of China(2207081675,22278257,22308209)+1 种基金the Key R&D Program of Shaanxi Province(2024SF-YBXM-586)the Project of Innovation Capability Support Program in Shaanxi Province(2024ZC-KJXX-005)。
文摘Global warming and energy crisis are two major challenges in the new-century.Wearable materials that enable all-seasonal self-adapting thermal comfort without additional energy-input attract significant attention as a solution to the increasing severity of extreme climate-change.Inspired by autologous temperature-regulation and multidimensional-sensing origins of nature-skin composed of nature collagen fibers,this study engineered a nanoscale wearable natural fibers-derived thermochromic material(TMEH-skin)for robust all-season self-adapting thermal management by tactically integrating traditional immersion and spraying methods with layer-by-layer stacking-strategy.Because of the on-demand multi-functional layer-structure design,TMEH-skin achieves spontaneous~38.16%visible lightmodulation and~95.1%infrared-emission,demonstrating outstanding double-self-switching thermal management origins by simple color-changing without additional energy-input.Moreover,TMEH-skin has gratifying tensile strength of 13.18 MPa,water vapor permeability,electrical-conductivity,and hydrophobicity,further broadening the application potential and scenarios as wearable materials.In applications for military-missions or reconnaissance behind enemy-lines,TMEH-skin robustly integrates the multi-functionalities of wearing-comfort,physiological signal-response capability for accurate transmission of Morse-code,and thermal management performances under special circumstances,indicating its tremendous potential for smart military-applications.Simulation results show that TMEH-skin has prominent energy-saving efficiency in cities with different climate zones.This study provides a new reference to the booming innovation of natural-derived wearable materials for all-seasonal self-adapting thermal management.
基金supported by the National Natural Science Foundation of China(Grant No.52442104)the Application Research Program of Liaoning Province(Grant No.2022JH2/01300219)+1 种基金the Fundamental Research Funds for the Central Universities(Grant No.3132024210)the Scientific Research Fund of the Educational Department of Liaoning Province(Nos.LJ212410151013,LJKMZ20220359)。
文摘Wearable bioelectronic devices are rapidly evolving towards miniaturization and multifunctionality,with remarkable features such as flexibility and comfort.However,achieving a sustainable power supply for wearable bioelectronic devices is still a great challenge.Triboelectric nanogenerators(TENGs)provide an efficient solution by converting irregular,low-frequency bioenergy from the human body into electrical energy.Beyond sustainably powering wearable bioelectronics,the harvested electrical energy also carries rich information for human body sensing.In this conversion process,the choice of material plays a crucial role in affecting the output performance of the TENGs.Among various materials,silicone rubber(SR)stands out due to its exceptional plasticity,flexibility,comfortability and other favorable properties.Moreover,with appropriate treatment,SR can achieve extreme functionalities such as high robustness,good stability,self-healing capabilities,rapid response,and more.In this review,recent advances in wearable SR-based TENGs(SR-TENGs)are systematically reviewed with a focus on their application in different parts of the human body.Given that the manufacturing method of SR-TENGs largely determines its output performance and sensitivity,this paper introduces the design of SR-TENGs,including material selection,process modulation,and structure optimization.Additionally,this article discusses the current challenges in the SR-TENG fabrication technology and potential future directions,aiming to promote the effective development of SR-TENGs in biomechanical energy harvesting and self-powered sensing applications.
基金funding from Commonwealth Scholarship Commission(CSC)U.K.for a Ph.D.scholarship for Marzia DulalUKRI Research England the Expanding Excellence in England(E3)grant.
文摘Wearable electronic textiles(e-textiles)with embedded electronics offer promising solutions for unobtrusive,real-time health monitoring,enhancing healthcare efficiency.However,their adoption is limited by performance and sustainability challenges in materials,manufacturing,and recycling.This study introduces a sustainable paradigm for the fabrication of fully inkjet-printed Smart,Wearable,and Eco-friendly Electronic Textiles(SWEET)with the first comprehensive assessments of the biodegradability and life cycle assessment(LCA).SWEET addresses existing limitations,enabling concurrent and continuous monitoring of human physiology,including skin surface temperature(at temperature coefficient of resistance,TCR value of~-4.4%℃^(-1))and heart rate(-74 beats per minute,bpm)separately and simultaneously like the industry gold standard,using consistent,versatile,and highly efficient inkjet-printed graphene and Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(PEDOT:PSS)-based wearable e-textiles.Demonstrations with a wearable garment on five human participants confirm the system’s capability to monitor their electrocardiogram(ECG)signals and skin temperature.Such sustainable and biodegradable e-textiles decompose by-48%in weight and lost-98%strength over 4months.Life cycle assessment(LCA)reveals that the graphene-based electrode has the lowest climate change impact of-0.037 kg CO_(2) eq,40 times lower than reference electrodes.This approach addresses material and manufacturing challenges,while aligning with environmental responsibility,marking a significant leap forward in sustainable e-textile technology for personalized healthcare management.
基金the project BRIGHT(Project reference:MERA-NET3/0004/2021)financed by national funds from FCT-Fundacao para a Ciência e a Tecnologia,I.P.,in the scope of the projects LA/P/0037/2020,UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures,Nanomodelling and Nanofabrication-i3N+6 种基金the support from the i3N-FCT-Portuguese Foundation for Science and Technology through the Ph.D.(Scholarship grant no.UI/BD/151288/2021)also partially supported by European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreements number 952169(SYNERGY,H2020-WIDESPREAD-2020-5,CSA)and 101008701(EMERGE,H2020-INFRAIA-2020-1),and 101070255(REFORM,HORIZON-C L4-2021-DIGITAL-EMERGING-01)also supported by LISBOA-05-3559-FSE-000007CENTRO-04-3559FSE-000094 operationsco-funded by the Lisboa 2020,Centro 2020 programme,Portugal 2020,European Union,through the European Social FundFunda??o para a Ciência e Tecnologia(FCT)Agência Nacional de Inovacao(ANI)。
文摘Textiles for health and sporting activity monitoring are on the rise with the advent of smart portable wearables.The intention of this work is to design wireless monitoring wearables,based on widely available textiles and low environmental impact production technologies.Herein we have developed a polymeric ink which is able to functionalize different types of textile fibers(including silver conducting fibers,cotton,and commercial textile)with poly pyrrole.These fibers were weaved together with a thinner silver conducting fiber and carbon fiber to form a touch-sensitive energy harvesting system that would generate an electric output when mechanical pressure is applied to it.Different prototypes were manufactured with loom weaving accessories to simulate real textile cloths.By simple touch,the prototypes produced a maximum voltage of 244 V and a maximum power density of 2.29 W m^(-2).The current generated is then transformed into a digital signal,which is further utilized for human motion or gesture monitorization.The system comprises a wireless block for the Internet of Things(IoT)applicability that will be eventually extended to future remote health and sports monitoring systems.
基金Shanghai Municipal Commission for Science and Technology,Grant/Award Number:23ZR1402500National Natural Science Foundation of China,Grant/Award Number:51973034+1 种基金National Scholarship CouncilNational Key Research and Development Program of China,Grant/Award Number:2023YFB3809800.
文摘Graphene fiber supercapacitors(GFSCs)have garnered significant attention due to their exceptional features,including high power density,rapid charge/discharge rates,prolonged cycling durability,and versatile weaving capabilities.Nevertheless,inherent challenges in graphene fibers(GFs),particularly the restricted ion-accessible specific surface area(SSA)and sluggish ion transport kinetics,hinder the achievement of optimal capacitance and rate performance.Despite existing reviews on GFSCs,a notable gap exists in thoroughly exploring the kinetics governing the energy storage process in GFSCs.This review aims to address this gap by thoroughly analyzing the energy storage mechanism,fabrication methodologies,property manipulation,and wearable applications of GFSCs.Through theoretical analysis of the energy storage process,specific parameters in advanced GF fabrication methodologies are carefully summarized,which can be used to modulate nano/micro-structures,thereby enhancing energy storage kinetics.In particular,enhanced ion storage is realized by creating more ion-accessible SSA and introducing extra-capacitive components,while accelerated ion transport is achieved by shortening the transport channel length and improving the accessibility of electrolyte ions.Building on the established structure-property relationship,several critical strategies for constructing optimal surface and structure profiles of GF electrodes are summarized.Capitalizing on the exceptional flexibility and wearability of GFSCs,the review further underscores their potential as foundational elements for constructing multifunctional e-textiles using conventional textile technologies.In conclusion,this review provides insights into current challenges and suggests potential research directions for GFSCs.
基金supported by the National Natural Science Foundation of China(Project no.51973120)the Natural Science Foun-dation of Guangdong Province(No.2019A1515010613)+1 种基金the Shenzhen Science and Technology Research Grant(Nos.JCYJ20170818093417096 and JCYJ20180305125649693)the Shenzhen Science and Technology Program(No.20220809111527001).
文摘Due to its ability to convert body heat into electricity,organic thermoelectric material is considered a promising and smart maintenance-free power source to charge wearable electronics.However,developing flexible n-type organic thermoelectric materials and wearable p/n junction thermoelectric devices remains challenging.In this work,two insulated polyamides(PA6 and PA66)that have been widely used as fiber materials are employed as novel dopants for converting p-type single-walled carbon nanotubes(SWCNTs)to n-type thermoelectric materials.Because of the electron transferability of the amide group,polyamide-doped SWCNTs exhibit excellent thermopower values as large as-56.0μV K^(-1) for PA66,and-54.5μV K^(-1) for PA6.Thermoelectric devices with five p/n junctions connected in series are fabricated.The testing device produces a thermoelectric voltage of 43.1 mV and generates 1.85μW thermoelectric power under temperature gradients of approximately 80 K.Furthermore,they display charming capability for temperature recognition and monitoring human activities as sensors.These promising results suggest that the flexible polyamide-doped SWCNT composites herein have high application potential as wearable thermoelectric electronics.
文摘Yongtao Yu,Yuelin Yu et al.Solvent-Resistant Wearable Triboelectric Nanogenerator for Energy-Harvesting and Self-Powered Sensors.Energy Environ.Mater.2024,7,e12700.On page 4 of this article,the first paragraph of 2.4,line 14(PDF version,same below),there is a spelling mistake of“sui,”.It should be changed to“suitable”.The denominator“dt”in the Equation(3)should be changed to“dt”.
基金supported by the National Natural Science Foundation of China(22176221 and 22273045)the Central Public-interest Scientific Institution Basal Research Fund,Chinese Academy of Fishery Sciences(2024XT09)+1 种基金the Tsinghua University Independent Scientific Research Plan for Young Investigatorthe Tsinghua University Initiative Scientific Research Program。
文摘Wearable electronics incorporating proteins for biocompatibility have garnered significant research attention,given their potential applications in biocompatible medical devices,artificial skin,humanoid robots,and other fields.However,a notable challenge exists,as many wearable electronics currently lack those essential properties due to issues such as non-biological compatibility,as well as insufficient mechanical and conductive performance.Here,we have developed a hybrid keratin(KE)hydrogel by incorporating a liquid metal(LM,eutectic gallium-indium alloy)to design a wearable electronic device with excellent biocompatibility,enhanced conductivity,and good mechanical properties.The resulting keratin liquid metal(KELM)hydrogel demonstrates favorable mechanical characteristics,including good tensile strength(166 kPa),impressive stretchability(2600%),and long-term stability.Furthermore,it exhibits good conductivity(6.84 S·m^(-1))and sensitivity as a sensing material(gauge factor(GF)=7.03),rendering it suitable for constructing high-performance strain sensors.Notably,the KELM hydrogel-based wearable electronics extend their functionality to monitoring marine inhabitants'health.This innovative application provides new insights for designing the next generation of biomimetic electronic devices,with potential applications in human-machine interfaces,electronic skin,artificial intelligence,and health monitoring.
基金the Asian Institute of Technology,Khlong Nueng,Thailand for their support in carrying out this study。
文摘Deep Learning(DL)offers promising solutions for analyzing wearable signals and gaining valuable insights into cognitive disorders.While previous review studies have explored various aspects of DL in cognitive healthcare,there remains a lack of comprehensive analysis that integrates wearable signals,data processing techniques,and the broader applications,benefits,and challenges of DL methods.Addressing this limitation,our study provides an extensive review of DL’s role in cognitive healthcare,with a particular emphasis on wearables,data processing,and the inherent challenges in this field.This review also highlights the considerable promise of DL approaches in addressing a broad spectrum of cognitive issues.By enhancing the understanding and analysis of wearable signal modalities,DL models can achieve remarkable accuracy in cognitive healthcare.Convolutional Neural Network(CNN),Recurrent Neural Network(RNN),and Long Short-term Memory(LSTM)networks have demonstrated improved performance and effectiveness in the early diagnosis and progression monitoring of neurological disorders.Beyond cognitive impairment detection,DL has been applied to emotion recognition,sleep analysis,stress monitoring,and neurofeedback.These applications lead to advanced diagnosis,personalized treatment,early intervention,assistive technologies,remote monitoring,and reduced healthcare costs.Nevertheless,the integration of DL and wearable technologies presents several challenges,such as data quality,privacy,interpretability,model generalizability,ethical concerns,and clinical adoption.These challenges emphasize the importance of conducting future research in areas such as multimodal signal analysis and explainable AI.The findings of this review aim to benefit clinicians,healthcare professionals,and society by facilitating better patient outcomes in cognitive healthcare.
基金supported by the National Natural Science Foundation of China(Nos.22374119 and 22274127)the Research Fund of the State Key Laboratory of Solidification Processing(NPU),China(No.2021-QZ-01)+1 种基金the Key Project of Natural Science Fund of Shaanxi Province(Nos.2023-JC-ZD-06 and 2024JC-YBQN-0636)the Open Project of the State Key Laboratory of Transducer Technology(No.SKT2307).
文摘Wearable sensors are pivotal for point-of-care diagnostics,yet their application in extreme conditions is rarely conducted.In this work,we present a wearable pH sensor using tungsten oxide aerogel(TOA)as the sensing material.With the advantages of large specific surface area,high porosity and interconnected network structures,TOA not only provides excellent pH sensing performance but also demonstrates remarkable structural and sensing stability.The potentiometric pH sensor exhibits a high sensitivity(−63.70 mV/pH),a low detectable limit(0.05)and a superior stability(maintained over 50,000 s).Integrated with a Bluetooth module,the wearable sensor achieves non-invasive and real-time pH monitoring on the human skin with minimal deviation(1.91%)compared to the commercial pH meter.More importantly,the anti-impact behaviors of the TOA-based sensing materials and chip,along with the pH wearable sensor on a pig exhibit an outstanding shock-resistance ability,with variations no more than 7.17%under an impact of 118.38 kPa.Therefore,this study shows great promise for the aerogel-based personalized health management in the extreme environment.
文摘Imagine a beanie that“sees”traffic lights for the visually impaired,or a shirt that doubles as a high-speed data receiver.These aren’t sci-fi fantasies-they’re the first threads of a revolution sparked by ultra-thin,flexible semiconductor fibers.In a Nature study published February 2024,researchers from the Chinese Academy of Sciences and Nanyang Technological University unveiled a breakthrough in producing high-performance optoelectronic fibers,overcoming decades-old engineering hurdles.
基金supported by the National Natural Science Foundation of China(No.22174055)Key R&D Program of Zhenjiang City(No.NY2022012)。
文摘Wearable flexible sensor devices have the characteristics of lightweight and miniaturization.Currently,power supply and detection components limit the portability of wearable flexible sensor devices.Meanwhile,conventional liquid electrolytes are unsuitable for the integration of sensing devices.To address these constraints,wearable biofuel cells and flexible electrochromic displays have been introduced,which can improve integration with other devices,safety,and color-coded display data.Meanwhile,electrode chips prepared through screen printing technology can further improve portability.In this work,a wearable sensor device with screen-printed chips was constructed and used for non-invasive detection of glucose.Agarose gel electrolytes doped with PDA-CNTs were prepared,and the mechanical strength and moisture retention were significantly improved compared with traditional gel electrolytes.Glucose in interstitial fluid was non-invasive extracted to the skin surface using reverse iontophoresis.As a biofuel for wearable biofuel cells,glucose drives self-powered sensor and electrochromic display to produce color change,allowing for visually measurement of glucose levels in body fluids.Accurate detection results can be visualized by reading the RGB value with a cell phone.
文摘In a recent study,Prof.Rui Min and collaborators published their paper in the journal of Opto-Electronic Science that is entitled"Smart photonic wristband for pulse wave monitoring".The paper introduces novel realization of a sensor that us-es a polymer optical multi-mode fiber to sense pulse wave bio-signal from a wrist by analyzing the specklegram mea-sured at the output of the fiber.Applying machine learning techniques over the pulse wave signal allowed medical diag-nostics and recognizing different gestures with accuracy rate of 95%.
基金funded by the Open Access Initiative of the University of Bremen and the DFG via SuUB BremenThe authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding thiswork through Large Group Project under grant number(RGP.2/568/45)The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University,Arar,KSA for funding this research work through the Project Number“NBU-FFR-2025-231-04”.
文摘Inertial Sensor-based Daily Activity Recognition(IS-DAR)requires adaptable,data-efficient methods for effective multi-sensor use.This study presents an advanced detection system using body-worn sensors to accurately recognize activities.A structured pipeline enhances IS-DAR by applying signal preprocessing,feature extraction and optimization,followed by classification.Before segmentation,a Chebyshev filter removes noise,and Blackman window-ing improves signal representation.Discriminative features-Gaussian Mixture Model(GMM)with Mel-Frequency Cepstral Coefficients(MFCC),spectral entropy,quaternion-based features,and Gammatone Cepstral Coefficients(GCC)-are fused to expand the feature space.Unlike existing approaches,the proposed IS-DAR system uniquely inte-grates diverse handcrafted features using a novel fusion strategy combined with Bayesian-based optimization,enabling a more accurate and generalized activity recognition.The key contribution lies in the joint optimization and fusion of features via Bayesian-based subset selection,resulting in a compact and highly discriminative feature representation.These features are then fed into a Convolutional Neural Network(CNN)to effectively detect spatial-temporal patterns in activity signals.Testing on two public datasets-IM-WSHA and ENABL3S-achieved accuracy levels of 93.0%and 92.0%,respectively.The integration of advanced feature extraction methods with fusion and optimization techniques significantly enhanced detection performance,surpassing traditional methods.The obtained results establish the effectiveness of the proposed IS-DAR system for deployment in real-world activity recognition applications.
