IEEE Transactions on Human-Machine Systems最新文献_第2页

Correlations Between Biomechanical Variables and Subjective Measures of Satisfaction While Using a Passive Upper-Limb Exoskeleton for Overhead Tasks in the Field

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-14 DOI: 10.1109/THMS.2025.3532358

Sungwoo Park;Moon Ki Jung;Kyujung Kim;HyunSeop Lim;JuYoung Yoon;Dong Jin Hyun

{"title":"Correlations Between Biomechanical Variables and Subjective Measures of Satisfaction While Using a Passive Upper-Limb Exoskeleton for Overhead Tasks in the Field","authors":"Sungwoo Park;Moon Ki Jung;Kyujung Kim;HyunSeop Lim;JuYoung Yoon;Dong Jin Hyun","doi":"10.1109/THMS.2025.3532358","DOIUrl":"https://doi.org/10.1109/THMS.2025.3532358","url":null,"abstract":"This article proposes a novel evaluation approach on wearing passive upper-limb exoskeletons for overhead tasks in real-world automotive manufacturing lines. We determined that wearing exoskeletons reduced the biomechanical efforts of workers measured by joint kinematics and electromyography as well as the estimated shoulder joint reaction forces and torques derived from simulation. These quantitatively measured variables were statistically associated with subjective measures collected through satisfaction questionnaires. We specifically found that participants increased the shoulder flexion and abduction angles as well as the shoulder range of motion while wearing exoskeletons. Participants also reduced muscle activities, joint torques for shoulder flexion, and reaction forces exerted on the shoulder joints while wearing exoskeletons. Interestingly, our analysis also found that the increased shoulder movement while wearing the device was negatively associated with the satisfaction level. This indicates that although the assistance provided by the device allows users to perform a wider range of arm lifting movements, the deviation from their original movement with the device may lead to decreases in satisfaction levels. This integrative approach using biomechanics and ergonomics suggests that we can potentially predict the subjective scale of satisfaction based on biomechanical variables and preliminarily evaluate the usability and comfort while wearing exoskeletons in real-world settings.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"176-184"},"PeriodicalIF":3.5,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introducing a Passive Shoulder Exoskeleton in a Production Plant: A Longitudinal Observation of Its Effects on Workers 在生产车间引入被动式肩部外骨骼：纵向观察其对工人的影响

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-13 DOI: 10.1109/THMS.2025.3536199

Andrea Parri;Ilaria Pacifico;Eleonora Guanziroli;Federica Aprigliano;Silverio Taglione;Francesco Giovacchini;Francesco Saverio Violante;Franco Molteni;Nicola Vitiello;Simona Crea

{"title":"Introducing a Passive Shoulder Exoskeleton in a Production Plant: A Longitudinal Observation of Its Effects on Workers","authors":"Andrea Parri;Ilaria Pacifico;Eleonora Guanziroli;Federica Aprigliano;Silverio Taglione;Francesco Giovacchini;Francesco Saverio Violante;Franco Molteni;Nicola Vitiello;Simona Crea","doi":"10.1109/THMS.2025.3536199","DOIUrl":"https://doi.org/10.1109/THMS.2025.3536199","url":null,"abstract":"Occupational exoskeletons have the potential to prevent work-related musculoskeletal disorders. Their widespread adoption should be promoted by investigating their long-term innocuity, sustained effectiveness, and practicability. This article presents a six-months longitudinal study exploring effects of an arm support exoskeleton (ASE) on six male workers, examining potential side effects, ASE's effectiveness, and its integration into daily work practices. Monthly clinical visits were scheduled to monitor workers’ health. Effectiveness, usability and acceptance metrics were collected at the beginning of the study and after six months. No side effects were found in clinical metrics during the study. Significant reductions, consistent overtime, were observed in shoulder muscle activity (up to 30%) and in effort perception-related metrics (up to 2.4 out of 10 points). Usage time settled around 10% of the monthly work-shift and gradually decreased possibly due to external factors (e.g., social, motivational, and seasonal factors) beyond researchers' control. Results encourage the continuation of similar investigations to strengthen these findings and promote the use of occupational exoskeletons.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"185-196"},"PeriodicalIF":3.5,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time-Based Protocol for Continuous Action Iterated Dilemma in Information Lossy Networks

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-10 DOI: 10.1109/THMS.2025.3532598

Syed Muhammad Amrr;Mohamed Zaery;S. M. Suhail Hussain;Mohammad A. Abido

{"title":"Time-Based Protocol for Continuous Action Iterated Dilemma in Information Lossy Networks","authors":"Syed Muhammad Amrr;Mohamed Zaery;S. M. Suhail Hussain;Mohammad A. Abido","doi":"10.1109/THMS.2025.3532598","DOIUrl":"https://doi.org/10.1109/THMS.2025.3532598","url":null,"abstract":"This article introduces a novel prescribed time-based method for analyzing the convergence of evolutionary game dynamics in an information lossy network. Traditional game theory limits players to two choices, i.e., either cooperation or defection. However, player behavior in real-world scenarios is often multidimensional and complex; therefore, this work employs a continuous action iterated dilemma that allows players to choose a wider range of strategies. Moreover, traditional convergence analysis often relies on Jacobian matrices, which entail complex derivations. In contrast, the proposed strategy employs a time generator-based protocol that achieves agreement between all the players at a prescribed time, explicitly set by the user through a time parameter within the protocol. A comprehensive Lyapunov analysis affirms the prescribed time convergence even when the network is exposed to information loss during data transfer. Numerical simulations illustrate that the proposed scheme leads to a faster agreement at the preassigned time and with a better resilience performance compared to existing methods.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"315-321"},"PeriodicalIF":3.5,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Multiobjective Discrete Harmony Search Optimizer for Disassembly Line Balancing Problems Considering Human Factors

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-06 DOI: 10.1109/THMS.2025.3528629

Tingting Wei;Xiwang Guo;Mengchu Zhou;Jiacun Wang;Shixin Liu;Shujin Qin;Ying Tang

{"title":"A Multiobjective Discrete Harmony Search Optimizer for Disassembly Line Balancing Problems Considering Human Factors","authors":"Tingting Wei;Xiwang Guo;Mengchu Zhou;Jiacun Wang;Shixin Liu;Shujin Qin;Ying Tang","doi":"10.1109/THMS.2025.3528629","DOIUrl":"https://doi.org/10.1109/THMS.2025.3528629","url":null,"abstract":"Ecological environment and natural resource issues are becoming more and more prominent, which promotes the recycling of waste products for green economy. Disassembly plays a key role in the remanufacturing and reuse of waste products. However, with the rapid development of production automation, designers tend to ignore the fact that manual operation is more flexible. It is of great importance to consider human factors in a disassembly process. This work considers two human disassembly postures, namely standing and sitting. The multiobjective disassembly line balancing problem considering human posture changes is studied. A mathematical model with the objective functions of maximizing profit, minimizing the number of posture changes at a workstation, and minimizing the difference of maximum posture changes between any two workstations is established. The model is solved through a newly proposed Pareto-based discrete harmony search algorithm. Three neighborhood structures are designed to enlarge the search space for better solutions. Furthermore, an elite reserve strategy is used to improve the global optimization ability of the proposed algorithm. Finally, the proposed model and algorithm are applied to cases of different scales of complexities, and the effectiveness of the proposed model and algorithm is verified in comparison with four competitive algorithms.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"124-133"},"PeriodicalIF":3.5,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human Comfort Index Estimation in Industrial Human–Robot Collaboration Task

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-06 DOI: 10.1109/THMS.2025.3530530

Celal Savur;Jamison Heard;Ferat Sahin

{"title":"Human Comfort Index Estimation in Industrial Human–Robot Collaboration Task","authors":"Celal Savur;Jamison Heard;Ferat Sahin","doi":"10.1109/THMS.2025.3530530","DOIUrl":"https://doi.org/10.1109/THMS.2025.3530530","url":null,"abstract":"Effective human–robot collaboration (HRC) requires robots to understand and adapt to humans' psychological states. This research presents a novel approach to quantitatively measure human comfort levels during HRC through the development of two metrics: a comfortability index (CI) and an uncomfortability index (UnCI). We conducted HRC experiments where participants performed assembly tasks while the robot's behavior was systematically varied. Participants' subjective responses (including <italic>surprise, <italic>anxiety, <italic>boredom, <italic>calmness, and <italic>comfortability ratings) were collected alongside physiological signals, including electrocardiogram, galvanic skin response, and pupillometry data. We propose two novel approaches for estimating CI/UnCI: an adaptation of the emotion circumplex model that maps comfort levels to the arousal–valence space, and a kernel density estimation model trained on physiological data. Time-domain features were extracted from the physiological signals and used to train machine learning models for real-time comfort levels estimation. Our results demonstrate that the proposed approaches can effectively estimate human comfort levels from physiological signals alone, with the circumplex model showing particular promise in detecting high discomfort states. This work enables real-time measurement of human comfort during HRC, providing a foundation for developing more adaptive and human-aware collaborative robots.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"246-255"},"PeriodicalIF":3.5,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time Myoelectric-Based Neural-Drive Decoding for Concurrent and Continuous Control of Robotic Finger Forces 基于神经驱动的实时肌电解码，实现机器人手指力的并发和连续控制

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-05 DOI: 10.1109/THMS.2025.3532209

Long Meng;Luis Vargas;Derek G. Kamper;Xiaogang Hu

{"title":"Real-Time Myoelectric-Based Neural-Drive Decoding for Concurrent and Continuous Control of Robotic Finger Forces","authors":"Long Meng;Luis Vargas;Derek G. Kamper;Xiaogang Hu","doi":"10.1109/THMS.2025.3532209","DOIUrl":"https://doi.org/10.1109/THMS.2025.3532209","url":null,"abstract":"Neural or muscular injuries, such as due to amputation, spinal cord injury, and stroke, can affect hand functions, profoundly impacting independent living. This has motivated the advancement of cutting-edge assistive robotic hands. However, unintuitive myoelectric control of these devices remains challenging, which limits the clinical translation of these devices. Accordingly, we developed a robust motor-intent decoding approach to continuously predict the intended fingertip forces of single and multiple fingers in real time. We used population motor neuron discharge activities (i.e., neural drive from brain to spinal cord) decoded from a high-density surface electromyogram (HD-sEMG) signals as the control signals instead of the conventional global sEMG features. To enable real-time neural-drive prediction, we employed a convolutional neural network model to establish the mapping from global HD-sEMG features to finger-specific neural-drive signals, which were then employed for continuous and real-time control of three prosthetic fingers (index, middle, and ring). As a result, the neural-drive-based approach can decode the motor intent of single-finger and multifinger forces with significantly lower force estimation errors than that obtained using the global HD-sEMG-amplitude approach. Besides, the force prediction accuracy was consistent over time and demonstrated strong robustness to signal interference. Our network-based decoder can also achieve better finger isolation with minimal forces predicted in unintended fingers. Our work demonstrates that the accurate and robust finger force control could be achieved through this new decoding approach. The outcomes offer an efficient intent prediction approach that allows users to have intuitive control of prosthetic fingertip forces in a dexterous way.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 2","pages":"256-265"},"PeriodicalIF":3.5,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IEEE Systems, Man, and Cybernetics Society Information

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-04 DOI: 10.1109/THMS.2024.3523661

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Call for Papers: IEEE Transactions on Human-Machine Systems

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-04 DOI: 10.1109/THMS.2025.3526267

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IEEE Transactions on Human-Machine Systems Information for Authors

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-04 DOI: 10.1109/THMS.2024.3523663

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IEEE Systems, Man, and Cybernetics Society Information

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2025-02-04 DOI: 10.1109/THMS.2024.3523659

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