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Related papers: Muscle Fatigue Analysis Using OpenSim

200 papers

Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Metaverse. Assessing fatigue of multi-muscle…

Human-Computer Interaction · Computer Science 2024-12-03 Chunzhi Yi , Xiaolei Sun , Chunyu Zhang , Wei Jin , Jianfei Zhu , Haiqi Zhu , Baichun Wei

Muscle fatigue is defined as the point at which the muscle is no longer able to sustain the required force or work output level. The overexertion of muscle force and muscle fatigue can induce acute pain and chronic pain in human body. When…

Robotics · Computer Science 2008-09-19 Liang Ma , Fouad Bennis , Damien Chablat , Wei Zhang

To investigate the effects of muscle fatigue on force sense at the ankle joint, 10 young healthy adults were asked to perform an isometric contra-lateral force ankle-matching task in two experimental conditions of: (1) no-fatigue and (2)…

Neurons and Cognition · Quantitative Biology 2008-12-18 Nicolas Vuillerme , Matthieu Boisgontier

Contactless diagnosis of musculoskeletal disorders can potentially improve population health as well as robot behaviours in collaborative settings. However, current diagnosis methods require an in-person physical examination in which a…

Medical Physics · Physics 2026-05-27 Jenishkumar Chauhan , Samarth Brahmbhatt , Vineet Vashista

Virtual human techniques have been used a lot in industrial design in order to consider human factors and ergonomics as early as possible. The physical status (the physical capacity of virtual human) has been mostly treated as invariable in…

Robotics · Computer Science 2010-07-26 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang , Bo Hu , François Guillaume

In ergonomics and biomechanics, muscle fatigue models based on maximum endurance time (MET) models are often used to integrate fatigue effect into ergonomic and biomechanical application. However, due to the empirical principle of those MET…

Robotics · Computer Science 2011-04-08 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang , Bo Hu , François Guillaume

This study proposes an exercise fatigue detection model based on real-time clinical data which includes time domain analysis, frequency domain analysis, detrended fluctuation analysis, approximate entropy, and sample entropy. Furthermore,…

Machine Learning · Statistics 2018-03-22 Ming-Yen Wu , Chi-Hua Chen , Chi-Chun Lo

Human muscle fatigue is considered to be one of the main reasons for Musculoskeletal Disorder (MSD). Recent models have been introduced to define muscle fatigue for static postures. However, the main drawbacks of these models are that the…

Robotics · Computer Science 2012-04-10 Ruina Ma , Damien Chablat , Fouad Bennis , Liang Ma

This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition. Previous studies have mainly focused on the before-fatigue and fatigue conditions.…

Signal Processing · Electrical Eng. & Systems 2023-09-12 Van Hieu Nguyen , Gia Thien Luu , Thien Van Luong , Mai Xuan Trang , Philippe Ravier , Olivier Buttelli

Musculoskeletal disorder (MSD) is one of the major health problems in physical work especially in manual handling jobs. In several literatures, muscle fatigue is considered to be closely related to MSD, especially for muscle related…

Robotics · Computer Science 2022-01-05 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang

Pushing/Pulling tasks is an important part of work in many industries. Usually, most researchers study the Push/Pull tasks by analyzing different posture conditions, force requirements, velocity factors, etc. However few studies have…

Robotics · Computer Science 2012-06-08 Ruina Ma , Damien Chablat , Fouad Bennis

Although automatic techniques have been employed in manufacturing industries to increase productivity and efficiency, there are still lots of manual handling jobs, especially for assembly and maintenance jobs. In these jobs, musculoskeletal…

Robotics · Computer Science 2010-10-29 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang , François Guillaume

Although automatic techniques have been employed in manufacturing industries to increase productivity and efficiency, there are still lots of manual handling jobs, especially for assembly and maintenance jobs. In these jobs, musculoskeletal…

Robotics · Computer Science 2009-01-08 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang , François Guillaume

Cumulative local muscle fatigue may lead to potential musculoskeletal disorder (MSD) risks {\color{red}, and subject-specific muscle fatigability needs to be considered to reduce potential MSD risks.} This study was conducted to determine…

Robotics · Computer Science 2014-02-10 Liang Ma , Wei Zhang , Bo Hu , Damien Chablat , Fouad Bennis , François Guillaume

Musculoskeletal disorder (MSD) is one of the major health problems in mechanical work especially in manual handling jobs. Muscle fatigue is believed to be the main reason for MSD. Posture analysis techniques have been used to expose MSD…

Robotics · Computer Science 2009-01-05 Liang Ma , Damien Chablat , Fouad Bennis , Wei Zhang

Although running is a common leisure activity and a core training regiment for several athletes, between $29\%$ and $79\%$ of runners sustain an overuse injury each year. These injuries are linked to excessive fatigue, which alters how…

Repetitive tasks in industrial works may contribute to health problems among operators, such as musculo-skeletal disorders, in part due to insufficient control of muscle fatigue. In this paper, a predictive model of fatigue is proposed for…

Robotics · Computer Science 2015-03-24 Sophie Sakka , Damien Chablat , Ruina Ma , Fouad Bennis

The increase of surface electromyography (sEMG) root-mean-square (RMS) is very frequently used to determine fatigue. However, as RMS is also influenced by muscle force,its effective usage as indicator of fatigue is mainly limited to…

Tissues and Organs · Quantitative Biology 2016-06-02 Jing Chang , Damien Chablat , Fouad Bennis , Liang Ma

Soft actuators have attracted a great deal of interest in the context of rehabilitative and assistive robots for increasing safety and lowering costs as compared to rigid-body robotic systems. During actuation, soft actuators experience…

Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue . They are based on the statistical analysis of accumulated and moving window data subsets with…

Machine Learning · Computer Science 2018-12-11 Sergii Stirenko , Gang Peng , Wei Zeng , Yuri Gordienko , Oleg Alienin , Oleksandr Rokovyi , Nikita Gordienko
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