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Related papers: A new simple dynamic muscle fatigue model and its …

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In this paper, we present a simulation and control framework for generating biomechanically plausible motion for muscle-actuated characters. We incorporate a fatigue dynamics model, the 3CC-r model, into the widely-adopted Hill-type muscle…

Graphics · Computer Science 2023-12-13 Yusen Feng , Xiyan Xu , Libin Liu

Musculoskeletal disorders (MSD) are the most common cause of work-related injuries and lost production involving approximately 1.7 billion people worldwide and mainly affect low back (more than 50%) and upper limbs (more than 40%). It has a…

Signal Processing · Electrical Eng. & Systems 2025-10-02 Roberto F. Pitzalis , Nicholas Cartocci , Christian Di Natali , Luigi Monica , Darwin G. Caldwell , Giovanni Berselli , Jesús Ortiz

In this research, attempts are made to conduct concrete muscle fatigue analysis of arbitrary motions on OpenSim, a digital human modeling platform. A plug-in is written on the base of a muscle fatigue model, which makes it possible to…

Tissues and Organs · Quantitative Biology 2017-05-17 Jing Chang , Damien Chablat , Fouad Bennis , Liang Ma

The new method is proposed to monitor the level of current physical load and accumulated fatigue by several objective and subjective characteristics. It was applied to the dataset targeted to estimate the physical load and fatigue by…

Computers and Society · Computer Science 2018-01-19 Yuri Gordienko , Sergii Stirenko , Yuriy Kochura , Oleg Alienin , Michail Novotarskiy , Nikita Gordienko

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

This research focuses on developing a real-time posture monitoring and risk assessment system for manual lifting tasks using advanced AI and computer vision technologies. Musculoskeletal disorders (MSDs) are a significant concern for…

Artificial Intelligence · Computer Science 2024-08-26 Ereena Bagga , Ang Yang

Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about muscle activities including detecting muscle fatigue by various…

Signal Processing · Electrical Eng. & Systems 2021-06-21 Xinliang Guo , Lei Lu , Mark Robinson , Ying Tan , Kusal Goonewardena , Denny Oetomo

Virtual human simulation integrated into virtual reality applications is mainly used for virtual representation of the user in virtual environment or for interactions between the user and the virtual avatar for cognitive tasks. In this…

Robotics · Computer Science 2010-12-13 Liang Ma , Damien Chablat , Fouad Bennis , Bo Hu , Wei Zhang

Fatigue is a loss in cognitive or physical performance due to physiological factors such as insufficient sleep, long work hours, stress, and physical exertion. It adversely affects the human body and can slow reaction times, reduce…

Human-Computer Interaction · Computer Science 2022-10-27 Ashish Jaiswal , Mohammad Zaki Zadeh , Aref Hebri , Fillia Makedon

Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability to estimate movement variables (i.e., muscle forces and joint moment) which cannot be…

Signal Processing · Electrical Eng. & Systems 2022-07-05 Jie Zhang , Yihui Zhao , Fergus Shone , Zhenhong Li , Alejandro F. Frangi , Shengquan Xie , Zhiqiang Zhang

Musculoskeletal models are pivotal in the domains of rehabilitation and resistance training to analyze muscle conditions. However, individual variability in musculoskeletal parameters and the immeasurability of some internal biomechanical…

Medical Physics · Physics 2025-02-21 Xi Wu , Chenzui Li , Kehan Zou , Ning Xi , Fei Chen

In this paper, we characterize major depression (MD) as a complex dynamical system in which symptoms (e.g., insomnia and fatigue) are directly connected to one another in a network structure. We hypothesize that individuals can be…

Data-driven methods have become increasingly more prominent for musculoskeletal modelling due to their conceptually intuitive simple and fast implementation. However, the performance of a pre-trained data-driven model using the data from…

Signal Processing · Electrical Eng. & Systems 2022-11-23 Jie Zhang , Yihui Zhao , Tianzhe Bao , Zhenhong Li , Kun Qian , Alejandro F. Frangi , Sheng Quan Xie , Zhi-Qiang Zhang

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

Muscle forces and joint kinematics estimated with musculoskeletal (MSK) modeling techniques offer useful metrics describing movement quality. Model-based computational MSK models can interpret the dynamic interaction between the neural…

Machine Learning · Computer Science 2023-09-13 Yue Shi , Shuhao Ma , Yihui Zhao

Engineers and scientists have been collecting and analyzing fatigue data since the 1800s to ensure the reliability of life-critical structures. Applications include (but are not limited to) bridges, building structures, aircraft and…

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

We study the fatigue fracture of disordered materials by means of computer simulations of a discrete element model. We extend a two-dimensional fracture model to capture the microscopic mechanisms relevant for fatigue, and we simulate the…

Disordered Systems and Neural Networks · Physics 2009-11-11 H. A. Carmona , F. Kun , J. S. Andrade , H. J. Herrmann

Fatigue strength estimation is a costly manual material characterization process in which state-of-the-art approaches follow a standardized experiment and analysis procedure. In this paper, we examine a modular, Machine Learning-based…

Machine Learning · Computer Science 2022-12-05 Dorina Weichert , Alexander Kister , Sebastian Houben , Gunar Ernis , Stefan Wrobel

Fatigue fracture is one of the main causes of failure in structures. However, the simulation of fatigue crack growth is computationally demanding due to the large number of load cycles involved. Metals in the low cycle fatigue range often…

Computational Physics · Physics 2024-11-11 Martha Kalina , Tom Schneider , Haim Waisman , Markus Kästner