IEEE Transactions on Human-Machine Systems最新文献_第4页

Modeling Shared Control System Between Human Pilot and Autopilot for a Carrier-Based Aircraft Landing Task 舰载机着陆任务中驾驶员与自动驾驶仪共享控制系统建模

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-12-19 DOI: 10.1109/THMS.2024.3502178

Shuting Xu;Wenqian Tan;Liguo Sun

{"title":"Modeling Shared Control System Between Human Pilot and Autopilot for a Carrier-Based Aircraft Landing Task","authors":"Shuting Xu;Wenqian Tan;Liguo Sun","doi":"10.1109/THMS.2024.3502178","DOIUrl":"https://doi.org/10.1109/THMS.2024.3502178","url":null,"abstract":"This article proposes a shared control system model between the human pilot and autopilot for the special issue of carrier-based aircraft landing task. A key point of the shared and cooperative control is that the decision-sharing system depends on the longitudinal safety boundaries for manual/automatic landing. Two strategies of the human pilot are adopted, including capture strategy and tracking strategy. A hidden model tracking control method is utilized to model the autopilot. To address the issue of frequent switching between the human pilot and autopilot caused by relying solely on safety boundaries to allocate control authority, fuzzy control theory is introduced to reduce the workload of the human pilot. The time-domain simulation results show that considering the fuzzy control, the frequency of switching and the flight states have been improved compared with the results without fuzzy control. Nonlinear pilot-induced oscillation metric evaluation results show that the human-automation shared and cooperative control considering the fuzzy control can alleviate the workload of the human pilot. The shared and cooperative control system model has certain significance in ensuring the safety of carrier-based aircraft landing.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 1","pages":"102-111"},"PeriodicalIF":3.5,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106815","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

Fatigue Assessment and Control With Lower Limb Exoskeletons 下肢外骨骼的疲劳评估与控制

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-12-11 DOI: 10.1109/THMS.2024.3503473

Lukas Bergmann;Lea Hansmann;Philip von Platen;Steffen Leonhardt;Chuong Ngo

{"title":"Fatigue Assessment and Control With Lower Limb Exoskeletons","authors":"Lukas Bergmann;Lea Hansmann;Philip von Platen;Steffen Leonhardt;Chuong Ngo","doi":"10.1109/THMS.2024.3503473","DOIUrl":"https://doi.org/10.1109/THMS.2024.3503473","url":null,"abstract":"Acknowledging the vital importance of fatigue management for improving rehabilitation results, customizing treatment, safeguarding patient well-being, and enhancing the quality of life of hemiplegic patients, this study presents the development of a tailored fatigue model and a corresponding human-in-the-loop (HiL) control system for exoskeleton-assisted walking. For this, the selected three-compartment controller fatigue model including a resting recovery parameter was adapted to a dynamic walking task scenario, incorporating a torque–velocity–angle dependency to quantify muscle activity. The model parameters were experimentally verified in a study with six healthy subjects, demonstrating accurate prediction of maximum voluntary contraction (MVC) decline with an average mean absolute error of 4.9%MVC. Subsequently, an HiL control mechanism was developed, utilizing ratings of perceived fatigue and state of fatigue values as reference metrics. The presented control approach effectively regulates fatigue levels within a 0%MVC–6%MVC steady-state error range during simulations. Experimental validation confirmed this performance, however, with partly higher steady-state errors mainly due to the restrictions of the exoskeleton's assistance. This preliminary study provides a promising foundation for future research, demonstrating the potential to manage fatigue effectively in exoskeleton users, offering an improved, personalized experience.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 1","pages":"10-22"},"PeriodicalIF":3.5,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106915","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 Game-Theoretic Model of Trust in Human–Robot Teaming: Guiding Human Observation Strategy for Monitoring Robot Behavior 人-机器人团队信任的博弈论模型：指导人类监控机器人行为的观察策略

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-12-04 DOI: 10.1109/THMS.2024.3488559

Zahra Zahedi;Sailik Sengupta;Subbarao Kambhampati

引用次数: 0

2024 Index IEEE Transactions on Human-Machine Systems Vol. 54 2024索引IEEE人机系统交易卷54

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-12-03 DOI: 10.1109/THMS.2024.3509052

引用次数: 0

Individual Performance in Women's Grassroots Football: A Physical and Emotional Perspective 女子基层足球的个人表现：身体和情感的视角

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-11-28 DOI: 10.1109/THMS.2024.3489795

Luis A. Oliveira Rodríguez;Roberto García Fernández;David Melendi Palacio

{"title":"Individual Performance in Women's Grassroots Football: A Physical and Emotional Perspective","authors":"Luis A. Oliveira Rodríguez;Roberto García Fernández;David Melendi Palacio","doi":"10.1109/THMS.2024.3489795","DOIUrl":"https://doi.org/10.1109/THMS.2024.3489795","url":null,"abstract":"It is essential to monitor and follow up with athletes, both from the point of view of physical and emotional well-being. This allows optimizing the strategy to be followed to achieve full individual and collective development, thus resulting in an improvement in performance, which helps in the prevention of injuries, and better collective work. This is especially important in the early stages of an athlete's career. The present study is based on a follow-up survey consisting of 117 female football players ranging from 10 and 20 years old, making it one of the first studies amongst this age group. A low-cost electronic performance and tracking system was developed to gather data on the players. During the training sessions, objective data (position, distances, etc.) and subjective parameters were collected using forms based on the rate of perceived exertion. This article deals with the evolution of the player's performance from both a physical and mental point of view. An emotional evaluation, based on well-being forms, is carried out and its possible influence on training. Finally, analysis is conducted on the level of health risk. It was found that the performance of female footballers improves with age and in competition-like situations. It has also been concluded that sporting activity leads to healthy lifestyle habits, which translates into a lower risk to their health.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 1","pages":"83-92"},"PeriodicalIF":3.5,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10770755","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-11-22 DOI: 10.1109/THMS.2024.3497077

引用次数: 0

IEEE Transactions on Human-Machine Systems Information for Authors 电气和电子工程师学会《人机系统学报》（IEEE Transactions on Human-Machine Systems）为作者提供的信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-11-22 DOI: 10.1109/THMS.2024.3497079

引用次数: 0

IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-11-22 DOI: 10.1109/THMS.2024.3497075

引用次数: 0

Share Your Preprint Research with the World! 与世界分享您的预印本研究成果

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-11-22 DOI: 10.1109/THMS.2024.3503333

引用次数: 0

An Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength Training 与力量训练相关的双变量表面肌电信号的改进复合高斯模型

IF 3.5 3区计算机科学

IEEE Transactions on Human-Machine Systems Pub Date : 2024-11-15 DOI: 10.1109/THMS.2024.3486450

Durgesh Kusuru;Anish C. Turlapaty;Mainak Thakur

{"title":"An Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength Training","authors":"Durgesh Kusuru;Anish C. Turlapaty;Mainak Thakur","doi":"10.1109/THMS.2024.3486450","DOIUrl":"https://doi.org/10.1109/THMS.2024.3486450","url":null,"abstract":"Recent literature suggests that the surface electromyography (sEMG) signals have nonstationary statistical characteristics, specifically due to the random nature of the covariance. Thus, the suitability of a statistical model for sEMG signals is determined by the choice of an appropriate model for describing the covariance. The purpose of this study is to propose a compound-Gaussian (CG) model for multivariate sEMG signals in which the latent variable of covariance is modeled as a random variable that follows an exponential model. The parameters of the model are estimated using the iterative expectation maximization (EM) algorithm. Further, a new dataset, electromyography analysis of human activities database 2 (EMAHA-DB2), is developed. The proposed model is evaluated through both qualitative and quantitative methods. Based on the model fitting analysis on the sEMG signals from EMAHA-DB2, it is found that the proposed CG model fits more closely to the empirical pdf of sEMG signals than the existing models. In addition, statistical analyses are carried out among the models and estimated parameters under different scenarios. The estimate of the exponential model's rate parameter exhibits a clear relationship with training weights, potentially correlating with underlying motor unit activity. Finally, the average signal power estimates of the channels show distinctive dependency on the training weights, the subject's training experience, and the type of activity.","PeriodicalId":48916,"journal":{"name":"IEEE Transactions on Human-Machine Systems","volume":"55 1","pages":"58-70"},"PeriodicalIF":3.5,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143106848","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