Augmented reality(AR)is an emerging dynamic technology that effectively supports education across different levels.The increased use of mobile devices has an even greater impact.As the demand for AR applications in ed...Augmented reality(AR)is an emerging dynamic technology that effectively supports education across different levels.The increased use of mobile devices has an even greater impact.As the demand for AR applications in education continues to increase,educators actively seek innovative and immersive methods to engage students in learning.However,exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational integration.Concurrently,this surge in demand has prompted the identification of specific barriers,one of which is three-dimensional(3D)modeling.Creating 3D objects for augmented reality education applications can be challenging and time-consuming for the educators.To address this,we have developed a pipeline that creates realistic 3D objects from the two-dimensional(2D)photograph.Applications for augmented and virtual reality can then utilize these created 3D objects.We evaluated the proposed pipeline based on the usability of the 3D object and performance metrics.Quantitatively,with 117 respondents,the co-creation team was surveyed with openended questions to evaluate the precision of the 3D object created by the proposed photogrammetry pipeline.We analyzed the survey data using descriptive-analytical methods and found that the proposed pipeline produces 3D models that are positively accurate when compared to real-world objects,with an average mean score above 8.This study adds new knowledge in creating 3D objects for augmented reality applications by using the photogrammetry technique;finally,it discusses potential problems and future research directions for 3D objects in the education sector.展开更多
Recently some photon models of a Wigner’s friend experiment have led investigators to suggest that objective reality does not exist, and to publish articles with such claims. The public is not equipped to evaluate th...Recently some photon models of a Wigner’s friend experiment have led investigators to suggest that objective reality does not exist, and to publish articles with such claims. The public is not equipped to evaluate the severe limitations of these experiments. The separation of Wigner from the experiment and use of only reversible coherent processes for the friend allow operations that are not possible in ordinary reality according to the latest quantum research. We suggest directly testing the implied claim that objective reality, including incoherent objects with irreversible non-destructive memory, can be held in superposition. We suspect that it will fail, but provide for a graduated approach that may discover something about the conditions for superposition collapse. To this end, we design a thought experiment to model the objective world, investigating under what conditions experimenters in the same world (ensemble member) will be able to record a result and find it does not appear to change. This is not an investigation of hidden variables. To model the objective world, incoherent and irreversible processes must be included. To test for superposition, coherence has to be established. These seem to present a contradiction. The thought experiment suggests new places to look other than size for the origin of objective reality, casts doubt on the Many-Worlds interpretation, and provides a method of testing it.展开更多
A concurrency control mechanism for collaborative work is akey element in a mixed reality environment. However, conventional lockingmechanisms restrict potential tasks or the support of non-owners, thusincreasing the ...A concurrency control mechanism for collaborative work is akey element in a mixed reality environment. However, conventional lockingmechanisms restrict potential tasks or the support of non-owners, thusincreasing the working time because of waiting to avoid conflicts. Herein, wepropose an adaptive concurrency control approach that can reduce conflictsand work time. We classify shared object manipulation in mixed reality intodetailed goals and tasks. Then, we model the relationships among goal,task, and ownership. As the collaborative work progresses, the proposedsystem adapts the different concurrency control mechanisms of shared objectmanipulation according to the modeling of goal–task–ownership. With theproposed concurrency control scheme, users can hold shared objects andmove and rotate together in a mixed reality environment similar to realindustrial sites. Additionally, this system provides MS Hololens and Myosensors to recognize inputs from a user and provides results in a mixed realityenvironment. The proposed method is applied to install an air conditioneras a case study. Experimental results and user studies show that, comparedwith the conventional approach, the proposed method reduced the number ofconflicts, waiting time, and total working time.展开更多
Augmented Reality(AR)applications can be used to improve tasks and mitigate errors during facilities operation and maintenance.This article presents an AR system for facility management using a three-dimensional(3D)ob...Augmented Reality(AR)applications can be used to improve tasks and mitigate errors during facilities operation and maintenance.This article presents an AR system for facility management using a three-dimensional(3D)object tracking method.Through spatial mapping,the object of interest,a pipe trap underneath a sink,is tracked and mixed onto the AR visualization.From that,the maintenance steps are transformed into visible and animated instructions.Although some tracking issues related to the component parts were observed,the designed AR application results demonstrated the potential to improve facility management tasks.展开更多
This paper presents the semantic analysis of queries written in natural language (French) and dedicated to the object oriented data bases. The studied queries include one or two nominal groups (NG) articulating around...This paper presents the semantic analysis of queries written in natural language (French) and dedicated to the object oriented data bases. The studied queries include one or two nominal groups (NG) articulating around a verb. A NG consists of one or several keywords (application dependent noun or value). Simple semantic filters are defined for identifying these keywords which can be of semantic value: class, simple attribute, composed attribute, key value or not key value. Coherence rules and coherence constraints are introduced, to check the validity of the co-occurrence of two consecutive nouns in complex NG. If a query is constituted of a single NG, no further analysis is required. Otherwise, if a query covers two valid NG, it is a subject of studying the semantic coherence of the verb and both NG which are attached to it.展开更多
Background:There is an urgent need for developing objective,effective and convenient measurements to help clinicians accurately identify bradykinesia.The purpose of this study is to evaluate the accuracy of an objecti...Background:There is an urgent need for developing objective,effective and convenient measurements to help clinicians accurately identify bradykinesia.The purpose of this study is to evaluate the accuracy of an objective approach assessing bradykinesia in finger tapping(FT)that uses evolutionary algorithms(EAs)and explore whether it can be used to identify early stage Parkinson’s disease(PD).Methods:One hundred and seven PD,41 essential tremor(ET)patients and 49 normal controls(NC)were recruited.Participants performed a standard FT task with two electromagnetic tracking sensors attached to the thumb and index finger.Readings from the sensors were transmitted to a tablet computer and subsequently analyzed by using EAs.The output from the device(referred to as"PD-Monitor")scaled from−1 to+1(where higher scores indicate greater severity of bradykinesia).Meanwhile,the bradykinesia was rated clinically using the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale(MDS-UPDRS)FT item.Results:With an increasing MDS-UPDRS FT score,the PD-Monitor score from the same hand side increased correspondingly.PD-Monitor score correlated well with MDS-UPDRS FT score(right side:r=0.819,P=0.000;left side:r=0.783,P=0.000).Moreover,PD-Monitor scores in 97 PD patients with MDS-UPDRS FT bradykinesia and each PD subgroup(FT bradykinesia scored from 1 to 3)were all higher than that in NC.Receiver operating characteristic(ROC)curves revealed that PD-Monitor FT scores could detect different severity of bradykinesia with high accuracy(≥89.7%)in the right dominant hand.Furthermore,PD-Monitor scores could discriminate early stage PD from NC,with area under the ROC curve greater than or equal to 0.899.Additionally,ET without bradykinesia could be differentiated from PD by PD-Monitor scores.A positive correlation of PD-Monitor scores with modified Hoehn and Yahr stage was found in the left hand sides.Conclusions:Our study demonstrated that a simple to use device employing classifiers derived from EAs could not only be used to accurately measure different severity of bradykinesia in PD,but also had the potential to differentiate early stage PD from normality.展开更多
针对目前基于预测框的定位方法受人体姿态影响较大的问题,提出了一种基于人体关键点的巡检人员精准定位方法。首先采用YOLOX(you only look once X)目标检测算法检测出图像中的人员目标;其次,利用改进的人体姿态估计网络获取人体脚部关...针对目前基于预测框的定位方法受人体姿态影响较大的问题,提出了一种基于人体关键点的巡检人员精准定位方法。首先采用YOLOX(you only look once X)目标检测算法检测出图像中的人员目标;其次,利用改进的人体姿态估计网络获取人体脚部关键点及其像素坐标,并计算出两脚连线中点的像素坐标作为其在图像中的位置;最后,建立二维图像坐标系至三维世界坐标系的映射模型,定位目标在世界坐标系下的精准坐标位置。测试结果表明,所提方法受人体姿态影响较小,其定位精度明显优于基于目标检测框的定位算法。所提算法的欧氏距离平均定位误差、最大误差、标准方差和相对误差分别为13.69 cm、20.21 cm、2.44 cm和1.22%,具有较高的人员定位精度,可广泛应用于电网巡检、运维安全风险管控等电网业务对人员定位精度要求较高的场所。展开更多
文摘Augmented reality(AR)is an emerging dynamic technology that effectively supports education across different levels.The increased use of mobile devices has an even greater impact.As the demand for AR applications in education continues to increase,educators actively seek innovative and immersive methods to engage students in learning.However,exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational integration.Concurrently,this surge in demand has prompted the identification of specific barriers,one of which is three-dimensional(3D)modeling.Creating 3D objects for augmented reality education applications can be challenging and time-consuming for the educators.To address this,we have developed a pipeline that creates realistic 3D objects from the two-dimensional(2D)photograph.Applications for augmented and virtual reality can then utilize these created 3D objects.We evaluated the proposed pipeline based on the usability of the 3D object and performance metrics.Quantitatively,with 117 respondents,the co-creation team was surveyed with openended questions to evaluate the precision of the 3D object created by the proposed photogrammetry pipeline.We analyzed the survey data using descriptive-analytical methods and found that the proposed pipeline produces 3D models that are positively accurate when compared to real-world objects,with an average mean score above 8.This study adds new knowledge in creating 3D objects for augmented reality applications by using the photogrammetry technique;finally,it discusses potential problems and future research directions for 3D objects in the education sector.
文摘Recently some photon models of a Wigner’s friend experiment have led investigators to suggest that objective reality does not exist, and to publish articles with such claims. The public is not equipped to evaluate the severe limitations of these experiments. The separation of Wigner from the experiment and use of only reversible coherent processes for the friend allow operations that are not possible in ordinary reality according to the latest quantum research. We suggest directly testing the implied claim that objective reality, including incoherent objects with irreversible non-destructive memory, can be held in superposition. We suspect that it will fail, but provide for a graduated approach that may discover something about the conditions for superposition collapse. To this end, we design a thought experiment to model the objective world, investigating under what conditions experimenters in the same world (ensemble member) will be able to record a result and find it does not appear to change. This is not an investigation of hidden variables. To model the objective world, incoherent and irreversible processes must be included. To test for superposition, coherence has to be established. These seem to present a contradiction. The thought experiment suggests new places to look other than size for the origin of objective reality, casts doubt on the Many-Worlds interpretation, and provides a method of testing it.
基金supported by“Regional Innovation Strategy (RIS)”through the National Research Foundation of Korea (NRF)funded by the Ministry of Education (MOE) (2021RIS-004).
文摘A concurrency control mechanism for collaborative work is akey element in a mixed reality environment. However, conventional lockingmechanisms restrict potential tasks or the support of non-owners, thusincreasing the working time because of waiting to avoid conflicts. Herein, wepropose an adaptive concurrency control approach that can reduce conflictsand work time. We classify shared object manipulation in mixed reality intodetailed goals and tasks. Then, we model the relationships among goal,task, and ownership. As the collaborative work progresses, the proposedsystem adapts the different concurrency control mechanisms of shared objectmanipulation according to the modeling of goal–task–ownership. With theproposed concurrency control scheme, users can hold shared objects andmove and rotate together in a mixed reality environment similar to realindustrial sites. Additionally, this system provides MS Hololens and Myosensors to recognize inputs from a user and provides results in a mixed realityenvironment. The proposed method is applied to install an air conditioneras a case study. Experimental results and user studies show that, comparedwith the conventional approach, the proposed method reduced the number ofconflicts, waiting time, and total working time.
文摘Augmented Reality(AR)applications can be used to improve tasks and mitigate errors during facilities operation and maintenance.This article presents an AR system for facility management using a three-dimensional(3D)object tracking method.Through spatial mapping,the object of interest,a pipe trap underneath a sink,is tracked and mixed onto the AR visualization.From that,the maintenance steps are transformed into visible and animated instructions.Although some tracking issues related to the component parts were observed,the designed AR application results demonstrated the potential to improve facility management tasks.
文摘This paper presents the semantic analysis of queries written in natural language (French) and dedicated to the object oriented data bases. The studied queries include one or two nominal groups (NG) articulating around a verb. A NG consists of one or several keywords (application dependent noun or value). Simple semantic filters are defined for identifying these keywords which can be of semantic value: class, simple attribute, composed attribute, key value or not key value. Coherence rules and coherence constraints are introduced, to check the validity of the co-occurrence of two consecutive nouns in complex NG. If a query is constituted of a single NG, no further analysis is required. Otherwise, if a query covers two valid NG, it is a subject of studying the semantic coherence of the verb and both NG which are attached to it.
基金This work was supported by the National Natural Science Foundation of China(grant numbers.81430022,81771374).
文摘Background:There is an urgent need for developing objective,effective and convenient measurements to help clinicians accurately identify bradykinesia.The purpose of this study is to evaluate the accuracy of an objective approach assessing bradykinesia in finger tapping(FT)that uses evolutionary algorithms(EAs)and explore whether it can be used to identify early stage Parkinson’s disease(PD).Methods:One hundred and seven PD,41 essential tremor(ET)patients and 49 normal controls(NC)were recruited.Participants performed a standard FT task with two electromagnetic tracking sensors attached to the thumb and index finger.Readings from the sensors were transmitted to a tablet computer and subsequently analyzed by using EAs.The output from the device(referred to as"PD-Monitor")scaled from−1 to+1(where higher scores indicate greater severity of bradykinesia).Meanwhile,the bradykinesia was rated clinically using the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale(MDS-UPDRS)FT item.Results:With an increasing MDS-UPDRS FT score,the PD-Monitor score from the same hand side increased correspondingly.PD-Monitor score correlated well with MDS-UPDRS FT score(right side:r=0.819,P=0.000;left side:r=0.783,P=0.000).Moreover,PD-Monitor scores in 97 PD patients with MDS-UPDRS FT bradykinesia and each PD subgroup(FT bradykinesia scored from 1 to 3)were all higher than that in NC.Receiver operating characteristic(ROC)curves revealed that PD-Monitor FT scores could detect different severity of bradykinesia with high accuracy(≥89.7%)in the right dominant hand.Furthermore,PD-Monitor scores could discriminate early stage PD from NC,with area under the ROC curve greater than or equal to 0.899.Additionally,ET without bradykinesia could be differentiated from PD by PD-Monitor scores.A positive correlation of PD-Monitor scores with modified Hoehn and Yahr stage was found in the left hand sides.Conclusions:Our study demonstrated that a simple to use device employing classifiers derived from EAs could not only be used to accurately measure different severity of bradykinesia in PD,but also had the potential to differentiate early stage PD from normality.
文摘针对目前基于预测框的定位方法受人体姿态影响较大的问题,提出了一种基于人体关键点的巡检人员精准定位方法。首先采用YOLOX(you only look once X)目标检测算法检测出图像中的人员目标;其次,利用改进的人体姿态估计网络获取人体脚部关键点及其像素坐标,并计算出两脚连线中点的像素坐标作为其在图像中的位置;最后,建立二维图像坐标系至三维世界坐标系的映射模型,定位目标在世界坐标系下的精准坐标位置。测试结果表明,所提方法受人体姿态影响较小,其定位精度明显优于基于目标检测框的定位算法。所提算法的欧氏距离平均定位误差、最大误差、标准方差和相对误差分别为13.69 cm、20.21 cm、2.44 cm和1.22%,具有较高的人员定位精度,可广泛应用于电网巡检、运维安全风险管控等电网业务对人员定位精度要求较高的场所。
