In the parallel steering coordination control strategy for path tracking,it is difficult to match the current driver steering model using the fixed parameters with the actual driver,and the designed steering coordinat...In the parallel steering coordination control strategy for path tracking,it is difficult to match the current driver steering model using the fixed parameters with the actual driver,and the designed steering coordination control strategy under a single objective and simple conditions is difficult to adapt to the multi-dimensional state variables’input.In this paper,we propose a deep reinforcement learning algorithm-based multi-objective parallel human-machine steering coordination strategy for path tracking considering driver misoperation and external disturbance.Firstly,the driver steering mathematical model is constructed based on the driver preview characteristics and steering delay response,and the driver characteristic parameters are fitted after collecting the actual driver driving data.Secondly,considering that the vehicle is susceptible to the influence of external disturbances during the driving process,the Tube MPC(Tube Model Predictive Control)based path tracking steering controller is designed based on the vehicle system dynamics error model.After verifying that the driver steering model meets the driver steering operation characteristics,DQN(Deep Q-network),DDPG(Deep Deterministic Policy Gradient)and TD3(Twin Delayed Deep Deterministic Policy Gradient)deep reinforcement learning algorithms are utilized to design a multi-objective parallel steering coordination strategy which satisfies the multi-dimensional state variables’input of the vehicle.Finally,the tracking accuracy,lateral safety,human-machine conflict and driver steering load evaluation index are designed in different driver operation states and different road environments,and the performance of the parallel steering coordination control strategies with different deep reinforcement learning algorithms and fuzzy algorithms are compared by simulations and hardware in the loop experiments.The results show that the parallel steering collaborative strategy based on a deep reinforcement learning algorithm can more effectively assist the driver in tracking the target path under lateral wind interference and driver misoperation,and the TD3-based coordination control strategy has better overall performance.展开更多
Photothermoelectric(PTE)photodetectors with selfpowered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields.However,traditional PTE photodetec...Photothermoelectric(PTE)photodetectors with selfpowered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields.However,traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument.Herein,we present a flexible PTE photodetector capable of dual-mode output,combining electrical and optical signal generation for enhanced functionality.Using solution processing,high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer.The geometrically asymmetric electrode design significantly enhances the responsivity,achieving 0.33 m A W^(-1)under infrared illumination,twice that of the symmetrical configuration.This improvement stems from optimized photothermal conversion and an expanded temperature gradient.The PTE device maintains stable performance after 300 bending cycles,demonstrating excellent flexibility.A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials,leading to a real-time visualization of invisible infrared radiation.Leveraging this functionality,we demonstrate the first human-machine collaborative infrared imaging system,wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern.Our study not only provides a new solution for functional integration of flexible photodetectors,but also sets a new benchmark for human-machine collaborative optoelectronics.展开更多
The working group on design and evaluation of intelligent system ergonomics,under SAC/TC 7,Ergonomics,was officially established in Qingdao city,Shandong province on June 18.The launching ceremony was jointly organize...The working group on design and evaluation of intelligent system ergonomics,under SAC/TC 7,Ergonomics,was officially established in Qingdao city,Shandong province on June 18.The launching ceremony was jointly organized by the Sub-institute of Fundamental Standardization of CNIS and China Standard Certification Co.,Ltd.It was attended by more than 60 experts and industry representatives in fields such as smart home technology,intelligent driving,wearable devices,medical health,and nuclear engineering.展开更多
Rock discontinuities control rock mechanical behaviors and significantly influence the stability of rock masses.However,existing discontinuity mapping algorithms are susceptible to noise,and the calculation results ca...Rock discontinuities control rock mechanical behaviors and significantly influence the stability of rock masses.However,existing discontinuity mapping algorithms are susceptible to noise,and the calculation results cannot be fed back to users timely.To address this issue,we proposed a human-machine interaction(HMI)method for discontinuity mapping.Users can help the algorithm identify the noise and make real-time result judgments and parameter adjustments.For this,a regular cube was selected to illustrate the workflows:(1)point cloud was acquired using remote sensing;(2)the HMI method was employed to select reference points and angle thresholds to detect group discontinuity;(3)individual discontinuities were extracted from the group discontinuity using a density-based cluster algorithm;and(4)the orientation of each discontinuity was measured based on a plane fitting algorithm.The method was applied to a well-studied highway road cut and a complex natural slope.The consistency of the computational results with field measurements demonstrates its good accuracy,and the average error in the dip direction and dip angle for both cases was less than 3.Finally,the computational time of the proposed method was compared with two other popular algorithms,and the reduction in computational time by tens of times proves its high computational efficiency.This method provides geologists and geological engineers with a new idea to map rapidly and accurately rock structures under large amounts of noises or unclear features.展开更多
AIM: To report the clinical outcomes and ergonomics analysis of three laparoscopic approaches in the management of Hirschsprung's disease(HD).METHODS: There were 90 pediatric patients(63 boys, 27 girls; mean age: ...AIM: To report the clinical outcomes and ergonomics analysis of three laparoscopic approaches in the management of Hirschsprung's disease(HD).METHODS: There were 90 pediatric patients(63 boys, 27 girls; mean age: 3.6 ± 2.7 mo; range: 1.0-90.2 mo) who underwent laparoscopic endorectal pull-through Soave procedures for short- and long-segment HD in our hospital. Three laparoscopic approaches were used: conventional laparoscopic pull-through(CLP) in 30 patients between 2009 and 2013, single-incision laparoscopic pull-through(SILP) in 28 patients between 2010 and 2013, and hybrid single-incision laparoscopic pull-through(H-SILP) in 32 patients between 2011 and 2013. We applied the hybrid version of the single-incision approach in 2011 to preserve the cosmetic advantage of SILP and the ergonomic advantage of CLP. We retrospectively analyzed the clinical data, cosmetic results, and ergonomics of these three approaches to have a better understanding of the selection of one approach over another. RESULTS: The CLP, SILP, and H-SILP groups were similar in regard to age, sex, transition zone, blood loss, hospital stay, and intraoperative complications. Early and late postoperative results were not different, with equal daily defecation frequency and postoperative complications. No conversion to open technique was needed and none of the patients had recurrent constipation. With proper training, the ergonomics challenges were overcome and similar operative times were registered for the general operative time in the patients < 1 year of age and the short-segment HD patients. However, significantly shorter operative times were registered compared to SILP for patients > 1 year of age(CLP and H-SILP: 120 ± 15 min and 119 ± 12 min, respectively, vs 140 ± 7 min; P < 0.05) and for long-segment HD patients(152 ± 3.5 min and 154 ± 3.6 min, respectively, vs 176 ± 2.3 min; P < 0.05). The best cosmetic result was registered with the SILP(scarless), followed by the H-SILP(near scarless appearance) and the CLP(visible scars) procedures. CONCLUSION: Based on the results, we believed that the laparoscopic approach should be selected according to the age, transition zone, and desired cosmetic result.展开更多
Summary: The purpose of this study was to evaluate the ergonomic risk factors associated with manual lifting tasks using surface electromyography (EMG). 13 volunteers lifted loads of 6 and 13 kg at two speeds and at t...Summary: The purpose of this study was to evaluate the ergonomic risk factors associated with manual lifting tasks using surface electromyography (EMG). 13 volunteers lifted loads of 6 and 13 kg at two speeds and at two horizontal distances in 3 different postures and three boxes of different sizes, from floor to knuckle height, performing 72 lifting tasks. For each lift, the surface electromyography signals from the erector spinae muscles, bilaterally at T_~10 and L_3, was recorded. The ergonomic risk factors associated with manual lifting tasks were evaluated by comparing the average amplitude of EMG signals from the erector spinae muscles. The EMG average amplitude for lifting the load of 13 kg was 14.3 % greater than that for lifting the load of 6 kg (t=-10.93, P<0.01). The EMG average amplitude at the site of L_3 was 10.3 % greater than that at the site of T_~10 (t=-7.98, P<0.01). The EMG average amplitude when performing “fast” lift was 5.9 %greater than the “slow” lift (t=-4.63, P<0.01). The posture of lifting affected the EMG average amplitude. It was lowest with semi-squat posture and greatest with squat posture (F=27.76, P<0.01). The result of multiple stepwise regression analysis showed that the loads of lifting, the size of box, horizontal distance, posture of lifting, the site of the spine subjected to force, lifting speed were the factors affecting the EMG average amplitude. The most significant factor was the loads of lifting, followed by the site of the spine subjected to force and the lifting speed in terms of risk. The ergonomic risk factors associated with manual lifting tasks includes the loads, posture, lifting speed, horizontal distance, the site of the spine subjected to force etc. The results of signal amplitude of EMG from the erector spinae muscles showed that semi-squat posture is the best posture for lifting tasks.展开更多
Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgen...Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.Recently,many EMG pattern recognition tasks have been addressed using deep learning methods.In this paper,we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI.An overview of typical network structures and processing schemes will be provided.Recent progress in typical tasks such as movement classification,joint angle prediction,and force/torque estimation will be introduced.New issues,including multimodal sensing,inter-subject/inter-session,and robustness toward disturbances will be discussed.We attempt to provide a comprehensive analysis of current research by discussing the advantages,challenges,and opportunities brought by deep learning.We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems.Furthermore,possible future directions will be presented to pave the way for future research.展开更多
Pilot needs to process lots of information when operating an aircraft,and reasonable information coding can greatly improve the correct rate and speed of information identification.At present,related researches are ma...Pilot needs to process lots of information when operating an aircraft,and reasonable information coding can greatly improve the correct rate and speed of information identification.At present,related researches are mainly performed in the laboratory,and the experiment method for abstract simulation is often used to research single digit information coding.The research results demonstrate a lack of systematization and applicability.The present study is based upon information coding methods of human-machine interface under real time in flight simulators.Subjects are required to perform an aircraft landing and the corresponding experiment task.The correct rate and reaction time are chosen as the performance evaluation indexes,combined with eye movement data.The advantages and disadvantages of different information coding methods are also evaluated and analyzed.The experiment results demonstrate that the effect of color coding on the correct rate of information identification is not significant,but the effect on the speed of information identification is obviously significant.The study demonstrates that on a black background,red,green and yellow are suitable colors for color coding,but blue is not.The position of information on the performance of information identification is also significant.The center of the interface is better than the edge,and the left position is superior to the right.The impact of language and a person's mother tongue should also be considered in practical applications.The study shows that the Chinese has a higher correct rate of identification than English.As the experiment research method in the present study is based on flight simulator,the actual utility and application value can be guaranteed.The research results have the ability to offer improvements in ergonomic reference for cockpit human-machine interface design.展开更多
Hydrogel-based triboelectric nanoge nerator(TENG)has a promising applied prospect in wearable electronic devices.However,its low performance,poor stability,insufficient recyclability and inferior self-healing seriousl...Hydrogel-based triboelectric nanoge nerator(TENG)has a promising applied prospect in wearable electronic devices.However,its low performance,poor stability,insufficient recyclability and inferior self-healing seriously hinder its development.Herein,we report a robust route to a liquid metal(LM)/polyvinyl alcohol(PVA)hydrogel-based TENG(LP-TENG).Owing to the intrinsically liquid feature of conductive LM within the flexible PVA hydrogel,the as-prepared LP-TENG exhibited comprehensiye advantages of adaptability,biocompatibility,outstanding electrical performance,superior stability,recyclability and diverse applications,which were unattainable by traditional systems.Concretely,the LP-TENG delivered appealing open circuit voltage of 250 V,short circuit current of 4μA and transferred charge of 120 nC with high stability,outperforming most advanced TENG systems.The LP-TENG was successfully employed for versatile applications with multifunctionality,including human motion detection,handwriting recognition,energy collection,message transmission and human-machine interaction.This work presents significant prospects for crafting advanced materials and devices in the fields of wearable electronics,flexible skin and smart robots.展开更多
Combination flexible and stretchable textiles with self-powered sensors bring a novel insight into wearable functional electronics and cyber security in the era of Internet of Things.This work presents a highly flexib...Combination flexible and stretchable textiles with self-powered sensors bring a novel insight into wearable functional electronics and cyber security in the era of Internet of Things.This work presents a highly flexible and self-powered fully fabric-based triboelectric nanogenerator(F-TENG)with sandwiched structure for biomechanical energy harvesting and real-time biometric authentication.The prepared F-TENG can power a digital watch by low-frequency motion and respond to the pressure change by the fall of leaves.A self-powered wearable keyboard(SPWK)is also fabricated by integrating large-area F-TENG sensor arrays,which not only can trace and record electrophysiological signals,but also can identify individuals’typing characteristics by means of the Haar wavelet.Based on these merits,the SPWK has promising applications in the realm of wearable electronics,self-powered sensors,cyber security,and artificial intelligences.展开更多
We outline problems and potential solutions for feasible human-machine interfaces using cable-based parallel manipulators for physiotherapy applications.From an engineering perspective,we discuss the design constraint...We outline problems and potential solutions for feasible human-machine interfaces using cable-based parallel manipulators for physiotherapy applications.From an engineering perspective,we discuss the design constraints related to acceptance by patients and physiotherapist users.To date,most designs have focused on mobile platforms that are designed to be operated as an end-effector connected to human limbs for direct patient interaction.Some specific examples are illustrated from the authors' experience with prototypes available at Laboratory of Robotics and Mechatronics (LARM),Italy.展开更多
To reduce the complexity of the configuration and control strategy for shoulder rehabilitation exoskeleton,a 2R1R1P2R serial of shoulder exoskeleton based on gravity balance is proposed.Based on three basic rotatory s...To reduce the complexity of the configuration and control strategy for shoulder rehabilitation exoskeleton,a 2R1R1P2R serial of shoulder exoskeleton based on gravity balance is proposed.Based on three basic rotatory shoulder joints,an exact kinematic constraint system can be formed between the exoskeleton and the upper arm by introducing a passive sliding pair and a center of glenohumeral(CGH)unpowered compensation mechanism,which realizes the human-machine kinematic compatibility.Gravity balance is used in the CGH compensation mechanism to provide shoulder joint support.Meanwhile,the motion of the compensation mechanism is pulled by doing reverse leading through the arm to realize the kinematic self-adaptive,which decreases control complexity.Besides,a simple and intuitive spring adjustment strategy is proposed to ensure the gravity balance of any prescribed quality.Furthermore,according to the influencing factors analysis of the scapulohumeral rhythm,the kinematic analysis of CGH mechanism is performed,which shows that the mechanism can fit the trajectory of CGH under various conditions.Finally,the dynamic simulation of the mechanism is carried out.Results indicate that the compensation torques are reduced to below 0.22 N·m,and the feasibility of the mechanism is also verified.展开更多
<p align="justify"> <span style="font-family:Verdana;"><span style="font-family:Verdana;">Clinician Burnout is a personal and public health issue. Most occupational stre...<p align="justify"> <span style="font-family:Verdana;"><span style="font-family:Verdana;">Clinician Burnout is a personal and public health issue. Most occupational stressors contributing to clinician burnout are systemic. The combination of organizational interventions along with individual interventions is necessary to make significant lasting difference in reducing burnout, improving clinician and patient satisfaction and reducing latent error in healthcare delivery. Application of Human Factors/Ergonomics (HFE) science in healthcare leadership and management is a gap in current training for leaders. HFE uses concepts from organizational, educational and cognitive science, systems science and industrial engineering. HFE application is especially necessary in a fast changing highly stressful healthcare environment which impacts the wellbeing of clinicians and the safety of patients under care. Practical suggestions for working with various healthcare leadership styles and organizational dynamics, while aligning wellness efforts with institutional mission are discussed. Concrete examples of decreasing extraneous mental load on clinicians to preserve their brainpower to achieve quality patient care are illustrated. Organizational interventions in combination with individual interventions to reduce and manage burnout have enormous potential to improve clinician wellbeing and satisfaction in taking care of patients, reduce costs, risk of error and create the safe working environment needed to sustainably give high quality care to patients.展开更多
The Chinese express delivery industry processes nearly 110 billion items in 2022,averaging an annual growth rate of 200%.Among the various types of sorting systems used for handling express items,cross-belt sorting sy...The Chinese express delivery industry processes nearly 110 billion items in 2022,averaging an annual growth rate of 200%.Among the various types of sorting systems used for handling express items,cross-belt sorting systems stand out as the most crucial.However,despite their high degree of automation,the workload for operators has intensified owing to the surging volume of express items.In the era of Industry 5.0,it is imperative to adopt new technologies that not only enhance worker welfare but also improve the efficiency of cross-belt systems.Striking a balance between efficiency in handling express items and operator well-being is challenging.Digital twin technology offers a promising solution in this respect.A realization method of a human-machine integrated digital twin is proposed in this study,enabling the interaction of biological human bodies,virtual human bodies,virtual equipment,and logistics equipment in a closed loop,thus setting an operating framework.Key technologies in the proposed framework include a collection of heterogeneous data from multiple sources,construction of the relationship between operator fatigue and operation efficiency based on physiological measurements,virtual model construction,and an online optimization module based on real-time simulation.The feasibility of the proposed method was verified in an express distribution center.展开更多
Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, ...Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, and its design direction is gotten through the questionnaire and the design starts from the real actual needs of students. After the original design was finished, the later investigation on the students was engaged with and made the engineering analysis. The conclusion is that the sum of ＂perfect＂ and ＂good＂ membership rates is up to 64%, hence the comprehensive assessment of the design is perfect. That is to say, this design is able to realize and meet the needs of users, and there is no doubt that it will have a good business prospects.展开更多
This paper describes the researching aim and content of Ergonomics.Some prob-lems existing in modern harvesting system,such as machinery availability,cabin design,occupational accident,noise and vibration are discusse...This paper describes the researching aim and content of Ergonomics.Some prob-lems existing in modern harvesting system,such as machinery availability,cabin design,occupational accident,noise and vibration are discussed from the viewpoint of Ergonomics.Furthermore,some improving ways and suggestions are presented.展开更多
Effects of hypoxia on learning-memory function and swimming capability of rat were studied and the ergonomics under hypoxic condition was also evaluated from the biological point of view.Three modes of hypoxia were de...Effects of hypoxia on learning-memory function and swimming capability of rat were studied and the ergonomics under hypoxic condition was also evaluated from the biological point of view.Three modes of hypoxia were designed and plots of oxygen concentration versus time for each group in hypoxic environment were produced.Results showed that the effects of hypoxia on learning-memory function and swimming capability were related with the time and strength of hypoxia.It had nothing to do with the individual difference of rat models.10% O2 long-term intermittent anamorphosis hypoxia could improve the swimming capability of rat model significantly.Stimulating with proper level of hypoxia,carbon dioxide could improve ergonomics in airtight hypoxia environment.Under hypoxia condition,from the ergonomic point of view,6% O2 is the important threshold and might belong in critical region.展开更多
Driving involves long hours of physical work within c onfined compartment. Taxi drivers usually work with prolonged working hours, add itional stress may likely be induced on particular body limbs. Occupational heal t...Driving involves long hours of physical work within c onfined compartment. Taxi drivers usually work with prolonged working hours, add itional stress may likely be induced on particular body limbs. Occupational heal th may occur and working efficiency may potentially be affected resulting fr om fatigues, pains or diseases. These problems, however, could be remedied if mo re attention is paid on seating design, the workplace and driving postures adopt ed. Ergonomics design can provide better understanding of those concerned areas. A study was conducted to analyse occupational and health problems related to ta xi drivers. Through ergonomic evaluation of driver’s compartment, the authors m ake recommendations to improve health and safety aspects. Besides, the experienc e of gained from this study using ergonomic design can be extended to other occu pation or products.展开更多
Laptop computers are used more often than desktop computers, especially among graduate students. Many common laptop habits can have severe physiological effects on the user ranging from eye strain, poor posture, upper...Laptop computers are used more often than desktop computers, especially among graduate students. Many common laptop habits can have severe physiological effects on the user ranging from eye strain, poor posture, upper extremity pain, and overuse injuries. Thus, it is important to educate students on the best ergonomic position to use laptops. This study investigates the efficacy of a laptop ergonomic education session and its effects on graduate students’ knowledge and behaviors regarding proper laptop use. A convenience sample of control and experimental groups was used and consisted of 83 occupational therapy (OT), 63 physical therapy (PT), and 26 nurse anesthesia (NA) graduate students. The sample size was 172, with 94 graduate students in the control group and 78 graduate students in the experimental. All study participants completed an initial ergonomics questionnaire. The experimental group was given an ergonomics education session following the questionnaire. Approximately 4 weeks after both groups completed the initial questionnaire;a follow up questionnaire was administered. Results showed that subjects demonstrated a statistically significant improvement in ergonomics knowledge after they completed the ergonomic educational session. Some participants reported making adaptations to laptop positioning and equipment use following the educational session. Thus, participating in ergonomic education can positively influence awareness of body mechanics relative to laptop workstation design.展开更多
基金Supported by National Natural Science Foundation of China(Grant Nos.U22A20246,52372382)Hefei Municipal Natural Science Foundation(Grant No.2022008)+1 种基金the Open Fund of State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures(Grant No.KF2023-06)S&T Program of Hebei(Grant No.225676162GH).
文摘In the parallel steering coordination control strategy for path tracking,it is difficult to match the current driver steering model using the fixed parameters with the actual driver,and the designed steering coordination control strategy under a single objective and simple conditions is difficult to adapt to the multi-dimensional state variables’input.In this paper,we propose a deep reinforcement learning algorithm-based multi-objective parallel human-machine steering coordination strategy for path tracking considering driver misoperation and external disturbance.Firstly,the driver steering mathematical model is constructed based on the driver preview characteristics and steering delay response,and the driver characteristic parameters are fitted after collecting the actual driver driving data.Secondly,considering that the vehicle is susceptible to the influence of external disturbances during the driving process,the Tube MPC(Tube Model Predictive Control)based path tracking steering controller is designed based on the vehicle system dynamics error model.After verifying that the driver steering model meets the driver steering operation characteristics,DQN(Deep Q-network),DDPG(Deep Deterministic Policy Gradient)and TD3(Twin Delayed Deep Deterministic Policy Gradient)deep reinforcement learning algorithms are utilized to design a multi-objective parallel steering coordination strategy which satisfies the multi-dimensional state variables’input of the vehicle.Finally,the tracking accuracy,lateral safety,human-machine conflict and driver steering load evaluation index are designed in different driver operation states and different road environments,and the performance of the parallel steering coordination control strategies with different deep reinforcement learning algorithms and fuzzy algorithms are compared by simulations and hardware in the loop experiments.The results show that the parallel steering collaborative strategy based on a deep reinforcement learning algorithm can more effectively assist the driver in tracking the target path under lateral wind interference and driver misoperation,and the TD3-based coordination control strategy has better overall performance.
基金supported by the Fundamental Research Funds for the Central Universities(xxj022019009)。
文摘Photothermoelectric(PTE)photodetectors with selfpowered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields.However,traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument.Herein,we present a flexible PTE photodetector capable of dual-mode output,combining electrical and optical signal generation for enhanced functionality.Using solution processing,high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer.The geometrically asymmetric electrode design significantly enhances the responsivity,achieving 0.33 m A W^(-1)under infrared illumination,twice that of the symmetrical configuration.This improvement stems from optimized photothermal conversion and an expanded temperature gradient.The PTE device maintains stable performance after 300 bending cycles,demonstrating excellent flexibility.A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials,leading to a real-time visualization of invisible infrared radiation.Leveraging this functionality,we demonstrate the first human-machine collaborative infrared imaging system,wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern.Our study not only provides a new solution for functional integration of flexible photodetectors,but also sets a new benchmark for human-machine collaborative optoelectronics.
文摘The working group on design and evaluation of intelligent system ergonomics,under SAC/TC 7,Ergonomics,was officially established in Qingdao city,Shandong province on June 18.The launching ceremony was jointly organized by the Sub-institute of Fundamental Standardization of CNIS and China Standard Certification Co.,Ltd.It was attended by more than 60 experts and industry representatives in fields such as smart home technology,intelligent driving,wearable devices,medical health,and nuclear engineering.
基金supported by the National Key R&D Program of China(No.2023YFC3081200)the National Natural Science Foundation of China(No.42077264)the Scientific Research Project of PowerChina Huadong Engineering Corporation Limited(HDEC-2022-0301).
文摘Rock discontinuities control rock mechanical behaviors and significantly influence the stability of rock masses.However,existing discontinuity mapping algorithms are susceptible to noise,and the calculation results cannot be fed back to users timely.To address this issue,we proposed a human-machine interaction(HMI)method for discontinuity mapping.Users can help the algorithm identify the noise and make real-time result judgments and parameter adjustments.For this,a regular cube was selected to illustrate the workflows:(1)point cloud was acquired using remote sensing;(2)the HMI method was employed to select reference points and angle thresholds to detect group discontinuity;(3)individual discontinuities were extracted from the group discontinuity using a density-based cluster algorithm;and(4)the orientation of each discontinuity was measured based on a plane fitting algorithm.The method was applied to a well-studied highway road cut and a complex natural slope.The consistency of the computational results with field measurements demonstrates its good accuracy,and the average error in the dip direction and dip angle for both cases was less than 3.Finally,the computational time of the proposed method was compared with two other popular algorithms,and the reduction in computational time by tens of times proves its high computational efficiency.This method provides geologists and geological engineers with a new idea to map rapidly and accurately rock structures under large amounts of noises or unclear features.
文摘AIM: To report the clinical outcomes and ergonomics analysis of three laparoscopic approaches in the management of Hirschsprung's disease(HD).METHODS: There were 90 pediatric patients(63 boys, 27 girls; mean age: 3.6 ± 2.7 mo; range: 1.0-90.2 mo) who underwent laparoscopic endorectal pull-through Soave procedures for short- and long-segment HD in our hospital. Three laparoscopic approaches were used: conventional laparoscopic pull-through(CLP) in 30 patients between 2009 and 2013, single-incision laparoscopic pull-through(SILP) in 28 patients between 2010 and 2013, and hybrid single-incision laparoscopic pull-through(H-SILP) in 32 patients between 2011 and 2013. We applied the hybrid version of the single-incision approach in 2011 to preserve the cosmetic advantage of SILP and the ergonomic advantage of CLP. We retrospectively analyzed the clinical data, cosmetic results, and ergonomics of these three approaches to have a better understanding of the selection of one approach over another. RESULTS: The CLP, SILP, and H-SILP groups were similar in regard to age, sex, transition zone, blood loss, hospital stay, and intraoperative complications. Early and late postoperative results were not different, with equal daily defecation frequency and postoperative complications. No conversion to open technique was needed and none of the patients had recurrent constipation. With proper training, the ergonomics challenges were overcome and similar operative times were registered for the general operative time in the patients < 1 year of age and the short-segment HD patients. However, significantly shorter operative times were registered compared to SILP for patients > 1 year of age(CLP and H-SILP: 120 ± 15 min and 119 ± 12 min, respectively, vs 140 ± 7 min; P < 0.05) and for long-segment HD patients(152 ± 3.5 min and 154 ± 3.6 min, respectively, vs 176 ± 2.3 min; P < 0.05). The best cosmetic result was registered with the SILP(scarless), followed by the H-SILP(near scarless appearance) and the CLP(visible scars) procedures. CONCLUSION: Based on the results, we believed that the laparoscopic approach should be selected according to the age, transition zone, and desired cosmetic result.
文摘Summary: The purpose of this study was to evaluate the ergonomic risk factors associated with manual lifting tasks using surface electromyography (EMG). 13 volunteers lifted loads of 6 and 13 kg at two speeds and at two horizontal distances in 3 different postures and three boxes of different sizes, from floor to knuckle height, performing 72 lifting tasks. For each lift, the surface electromyography signals from the erector spinae muscles, bilaterally at T_~10 and L_3, was recorded. The ergonomic risk factors associated with manual lifting tasks were evaluated by comparing the average amplitude of EMG signals from the erector spinae muscles. The EMG average amplitude for lifting the load of 13 kg was 14.3 % greater than that for lifting the load of 6 kg (t=-10.93, P<0.01). The EMG average amplitude at the site of L_3 was 10.3 % greater than that at the site of T_~10 (t=-7.98, P<0.01). The EMG average amplitude when performing “fast” lift was 5.9 %greater than the “slow” lift (t=-4.63, P<0.01). The posture of lifting affected the EMG average amplitude. It was lowest with semi-squat posture and greatest with squat posture (F=27.76, P<0.01). The result of multiple stepwise regression analysis showed that the loads of lifting, the size of box, horizontal distance, posture of lifting, the site of the spine subjected to force, lifting speed were the factors affecting the EMG average amplitude. The most significant factor was the loads of lifting, followed by the site of the spine subjected to force and the lifting speed in terms of risk. The ergonomic risk factors associated with manual lifting tasks includes the loads, posture, lifting speed, horizontal distance, the site of the spine subjected to force etc. The results of signal amplitude of EMG from the erector spinae muscles showed that semi-squat posture is the best posture for lifting tasks.
基金supported in part by the National Natural Science Foundation of China(U181321461773369+2 种基金61903360)the Selfplanned Project of the State Key Laboratory of Robotics(2020-Z12)China Postdoctoral Science Foundation funded project(2019M661155)。
文摘Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.Recently,many EMG pattern recognition tasks have been addressed using deep learning methods.In this paper,we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI.An overview of typical network structures and processing schemes will be provided.Recent progress in typical tasks such as movement classification,joint angle prediction,and force/torque estimation will be introduced.New issues,including multimodal sensing,inter-subject/inter-session,and robustness toward disturbances will be discussed.We attempt to provide a comprehensive analysis of current research by discussing the advantages,challenges,and opportunities brought by deep learning.We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems.Furthermore,possible future directions will be presented to pave the way for future research.
基金supported by National Basic Research Program of China(973 Program,Grant No.2010CB734104)
文摘Pilot needs to process lots of information when operating an aircraft,and reasonable information coding can greatly improve the correct rate and speed of information identification.At present,related researches are mainly performed in the laboratory,and the experiment method for abstract simulation is often used to research single digit information coding.The research results demonstrate a lack of systematization and applicability.The present study is based upon information coding methods of human-machine interface under real time in flight simulators.Subjects are required to perform an aircraft landing and the corresponding experiment task.The correct rate and reaction time are chosen as the performance evaluation indexes,combined with eye movement data.The advantages and disadvantages of different information coding methods are also evaluated and analyzed.The experiment results demonstrate that the effect of color coding on the correct rate of information identification is not significant,but the effect on the speed of information identification is obviously significant.The study demonstrates that on a black background,red,green and yellow are suitable colors for color coding,but blue is not.The position of information on the performance of information identification is also significant.The center of the interface is better than the edge,and the left position is superior to the right.The impact of language and a person's mother tongue should also be considered in practical applications.The study shows that the Chinese has a higher correct rate of identification than English.As the experiment research method in the present study is based on flight simulator,the actual utility and application value can be guaranteed.The research results have the ability to offer improvements in ergonomic reference for cockpit human-machine interface design.
基金financially supported by the Natural Science Foundation of China(Nos.22109120,62104170 and 82202757)Zhejiang Provincial Natural Science Foundation of China(Nos.LQ21B030002 and LY23F040001)。
文摘Hydrogel-based triboelectric nanoge nerator(TENG)has a promising applied prospect in wearable electronic devices.However,its low performance,poor stability,insufficient recyclability and inferior self-healing seriously hinder its development.Herein,we report a robust route to a liquid metal(LM)/polyvinyl alcohol(PVA)hydrogel-based TENG(LP-TENG).Owing to the intrinsically liquid feature of conductive LM within the flexible PVA hydrogel,the as-prepared LP-TENG exhibited comprehensiye advantages of adaptability,biocompatibility,outstanding electrical performance,superior stability,recyclability and diverse applications,which were unattainable by traditional systems.Concretely,the LP-TENG delivered appealing open circuit voltage of 250 V,short circuit current of 4μA and transferred charge of 120 nC with high stability,outperforming most advanced TENG systems.The LP-TENG was successfully employed for versatile applications with multifunctionality,including human motion detection,handwriting recognition,energy collection,message transmission and human-machine interaction.This work presents significant prospects for crafting advanced materials and devices in the fields of wearable electronics,flexible skin and smart robots.
基金the National Key R&D Project from Minister of Science and Technology(Grant No.2016YFA0202704)the Beijing Municipal Natural Science Foundation(Grant No.2212052)+1 种基金the Shanghai Sailing Program(Grant No.19S28101)the Fundamental Research Funds for the Central Universities(Grant No.19D128102).
文摘Combination flexible and stretchable textiles with self-powered sensors bring a novel insight into wearable functional electronics and cyber security in the era of Internet of Things.This work presents a highly flexible and self-powered fully fabric-based triboelectric nanogenerator(F-TENG)with sandwiched structure for biomechanical energy harvesting and real-time biometric authentication.The prepared F-TENG can power a digital watch by low-frequency motion and respond to the pressure change by the fall of leaves.A self-powered wearable keyboard(SPWK)is also fabricated by integrating large-area F-TENG sensor arrays,which not only can trace and record electrophysiological signals,but also can identify individuals’typing characteristics by means of the Haar wavelet.Based on these merits,the SPWK has promising applications in the realm of wearable electronics,self-powered sensors,cyber security,and artificial intelligences.
基金supported by the research project RORAS 2 of the Mediterranean Program funded by INRIA,France
文摘We outline problems and potential solutions for feasible human-machine interfaces using cable-based parallel manipulators for physiotherapy applications.From an engineering perspective,we discuss the design constraints related to acceptance by patients and physiotherapist users.To date,most designs have focused on mobile platforms that are designed to be operated as an end-effector connected to human limbs for direct patient interaction.Some specific examples are illustrated from the authors' experience with prototypes available at Laboratory of Robotics and Mechatronics (LARM),Italy.
基金The National Natural Science Foundation of China(No.51675098)。
文摘To reduce the complexity of the configuration and control strategy for shoulder rehabilitation exoskeleton,a 2R1R1P2R serial of shoulder exoskeleton based on gravity balance is proposed.Based on three basic rotatory shoulder joints,an exact kinematic constraint system can be formed between the exoskeleton and the upper arm by introducing a passive sliding pair and a center of glenohumeral(CGH)unpowered compensation mechanism,which realizes the human-machine kinematic compatibility.Gravity balance is used in the CGH compensation mechanism to provide shoulder joint support.Meanwhile,the motion of the compensation mechanism is pulled by doing reverse leading through the arm to realize the kinematic self-adaptive,which decreases control complexity.Besides,a simple and intuitive spring adjustment strategy is proposed to ensure the gravity balance of any prescribed quality.Furthermore,according to the influencing factors analysis of the scapulohumeral rhythm,the kinematic analysis of CGH mechanism is performed,which shows that the mechanism can fit the trajectory of CGH under various conditions.Finally,the dynamic simulation of the mechanism is carried out.Results indicate that the compensation torques are reduced to below 0.22 N·m,and the feasibility of the mechanism is also verified.
文摘<p align="justify"> <span style="font-family:Verdana;"><span style="font-family:Verdana;">Clinician Burnout is a personal and public health issue. Most occupational stressors contributing to clinician burnout are systemic. The combination of organizational interventions along with individual interventions is necessary to make significant lasting difference in reducing burnout, improving clinician and patient satisfaction and reducing latent error in healthcare delivery. Application of Human Factors/Ergonomics (HFE) science in healthcare leadership and management is a gap in current training for leaders. HFE uses concepts from organizational, educational and cognitive science, systems science and industrial engineering. HFE application is especially necessary in a fast changing highly stressful healthcare environment which impacts the wellbeing of clinicians and the safety of patients under care. Practical suggestions for working with various healthcare leadership styles and organizational dynamics, while aligning wellness efforts with institutional mission are discussed. Concrete examples of decreasing extraneous mental load on clinicians to preserve their brainpower to achieve quality patient care are illustrated. Organizational interventions in combination with individual interventions to reduce and manage burnout have enormous potential to improve clinician wellbeing and satisfaction in taking care of patients, reduce costs, risk of error and create the safe working environment needed to sustainably give high quality care to patients.
基金Supported by National Natural Science Foundation of China(Grant No.52075036)Key Technologies Research and Development Program of China(Grant No.2022YFC3302204).
文摘The Chinese express delivery industry processes nearly 110 billion items in 2022,averaging an annual growth rate of 200%.Among the various types of sorting systems used for handling express items,cross-belt sorting systems stand out as the most crucial.However,despite their high degree of automation,the workload for operators has intensified owing to the surging volume of express items.In the era of Industry 5.0,it is imperative to adopt new technologies that not only enhance worker welfare but also improve the efficiency of cross-belt systems.Striking a balance between efficiency in handling express items and operator well-being is challenging.Digital twin technology offers a promising solution in this respect.A realization method of a human-machine integrated digital twin is proposed in this study,enabling the interaction of biological human bodies,virtual human bodies,virtual equipment,and logistics equipment in a closed loop,thus setting an operating framework.Key technologies in the proposed framework include a collection of heterogeneous data from multiple sources,construction of the relationship between operator fatigue and operation efficiency based on physiological measurements,virtual model construction,and an online optimization module based on real-time simulation.The feasibility of the proposed method was verified in an express distribution center.
基金Supported by Beijing Higher Education Young Elite Teacher Project(No.YETP0369)Fundamental Research Funds for the Central Universities(FRF-TP-14-033A2)
文摘Aiming at the defects of the products available on the market at present and basing on the Kansei Engineering and Ergonomics, a new kind of student apartment bed which can prove its humanity more clearly is designed, and its design direction is gotten through the questionnaire and the design starts from the real actual needs of students. After the original design was finished, the later investigation on the students was engaged with and made the engineering analysis. The conclusion is that the sum of ＂perfect＂ and ＂good＂ membership rates is up to 64%, hence the comprehensive assessment of the design is perfect. That is to say, this design is able to realize and meet the needs of users, and there is no doubt that it will have a good business prospects.
文摘This paper describes the researching aim and content of Ergonomics.Some prob-lems existing in modern harvesting system,such as machinery availability,cabin design,occupational accident,noise and vibration are discussed from the viewpoint of Ergonomics.Furthermore,some improving ways and suggestions are presented.
基金Sponsored by the National Natural Science Foundation of China(20705005)Commission of Science Technology and Industry for National Defence(A2220060042)
文摘Effects of hypoxia on learning-memory function and swimming capability of rat were studied and the ergonomics under hypoxic condition was also evaluated from the biological point of view.Three modes of hypoxia were designed and plots of oxygen concentration versus time for each group in hypoxic environment were produced.Results showed that the effects of hypoxia on learning-memory function and swimming capability were related with the time and strength of hypoxia.It had nothing to do with the individual difference of rat models.10% O2 long-term intermittent anamorphosis hypoxia could improve the swimming capability of rat model significantly.Stimulating with proper level of hypoxia,carbon dioxide could improve ergonomics in airtight hypoxia environment.Under hypoxia condition,from the ergonomic point of view,6% O2 is the important threshold and might belong in critical region.
文摘Driving involves long hours of physical work within c onfined compartment. Taxi drivers usually work with prolonged working hours, add itional stress may likely be induced on particular body limbs. Occupational heal th may occur and working efficiency may potentially be affected resulting fr om fatigues, pains or diseases. These problems, however, could be remedied if mo re attention is paid on seating design, the workplace and driving postures adopt ed. Ergonomics design can provide better understanding of those concerned areas. A study was conducted to analyse occupational and health problems related to ta xi drivers. Through ergonomic evaluation of driver’s compartment, the authors m ake recommendations to improve health and safety aspects. Besides, the experienc e of gained from this study using ergonomic design can be extended to other occu pation or products.
文摘Laptop computers are used more often than desktop computers, especially among graduate students. Many common laptop habits can have severe physiological effects on the user ranging from eye strain, poor posture, upper extremity pain, and overuse injuries. Thus, it is important to educate students on the best ergonomic position to use laptops. This study investigates the efficacy of a laptop ergonomic education session and its effects on graduate students’ knowledge and behaviors regarding proper laptop use. A convenience sample of control and experimental groups was used and consisted of 83 occupational therapy (OT), 63 physical therapy (PT), and 26 nurse anesthesia (NA) graduate students. The sample size was 172, with 94 graduate students in the control group and 78 graduate students in the experimental. All study participants completed an initial ergonomics questionnaire. The experimental group was given an ergonomics education session following the questionnaire. Approximately 4 weeks after both groups completed the initial questionnaire;a follow up questionnaire was administered. Results showed that subjects demonstrated a statistically significant improvement in ergonomics knowledge after they completed the ergonomic educational session. Some participants reported making adaptations to laptop positioning and equipment use following the educational session. Thus, participating in ergonomic education can positively influence awareness of body mechanics relative to laptop workstation design.
