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Related papers: Estimating Continuous Muscle Fatigue For Multi-Mus…

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In order to assess fatigue independent amplitude-frequency correlations in EMG signals we asked nineteen male subjects to perform a series of isometric muscular contractions by extensors of the knee joint. Different amplitudes of the signal…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Adam Siemienski , Alicja Kebel , Piotr Klajner

The model of a tired random walker, whose jump-length decays exponentially in time, is proposed and the motion of such a tired random walker is studied systematically in one, two and three dimensional contin- uum. In all cases, the…

Statistical Mechanics · Physics 2015-11-17 Muktish Acharyya

A numerical framework for simulating progressive failure under high-cycle fatigue loading is validated against experiments of composite quasi-isotropic open-hole laminates. Transverse matrix cracking and delamination are modeled with a…

Computational Engineering, Finance, and Science · Computer Science 2024-05-06 P. Hofman , F. P. van der Meer , L. J. Sluys

Balance control is important for human and bipedal robotic systems. While dynamic balance during locomotion has received considerable attention, quantitative understanding of static balance and falling remains limited. This work presents a…

Robotics · Computer Science 2025-09-09 Chengtian Ma , Yunyue Wei , Chenhui Zuo , Chen Zhang , Yanan Sui

Cognitive effort, defined as the relationship between cognitive load and task performance, provides insight into how individuals allocate mental resources during demanding tasks. This construct is particularly important in high-stakes…

Human-Computer Interaction · Computer Science 2026-04-13 Shayla Sharmin , Mohammad Fahim Abrar , Gael Lucero-Palacios , Aditya Raikwar , Roghayeh Leila Barmaki

Motion prediction is a classic problem in computer vision, which aims at forecasting future motion given the observed pose sequence. Various deep learning models have been proposed, achieving state-of-the-art performance on motion…

Computer Vision and Pattern Recognition · Computer Science 2022-01-10 Pengxiang Su , Zhenguang Liu , Shuang Wu , Lei Zhu , Yifang Yin , Xuanjing Shen

Collective cell migration plays a central role in tissue development, morphogenesis, wound repair and cancer progression. With the growing realization that physical forces mediate cell motility in development and physiology, a key…

Biological Physics · Physics 2018-12-07 Shiladitya Banerjee , M. Cristina Marchetti

Athletic training is characterized by physiological systems responding to repeated exercise-induced stress, resulting in gradual alterations in the functional properties of these systems. The adaptive response leading to improved…

Quantitative Methods · Quantitative Biology 2025-06-30 Hilkka Kontro , Armando Mastracci , Stephen S. Cheung , Martin J. MacInnis

Balance assessment during physical rehabilitation often relies on rubric-oriented battery tests to score a patient's physical capabilities, leading to subjectivity. While some objective balance assessments exist, they are often limited to…

Machine Learning · Computer Science 2023-08-10 Kübra Akbaş , Carlotta Mummolo , Xianlian Zhou

This study investigated the effects of mental fatigue (MF) induced by a 90-min AX-continuous performance test (AX-CPT) on balance control by addressing the issue of the heterogeneity of individuals' responses. Twenty healthy young active…

Neurons and Cognition · Quantitative Biology 2026-04-28 Frédéric Noé , Betty Hachard , Hadrien Ceyte , Noëlle Bru , Thierry Paillard

(1) Background: The success of physiotherapy depends on the regular and correct performance of movement exercises. A system that automatically evaluates these could support the therapy. Previous approaches in this area rarely rely on Deep…

Machine Learning · Computer Science 2025-06-02 Andreas Spilz , MIchael Munz

Everyday locomotion is a complex sensorimotor process that can unfold over multiple timescales, from long-term path planning to rapid, reactive adjustments. However, we lack an understanding of how factors such as environmental demands, or…

Machine Learning · Computer Science 2025-08-28 Wei-Chen Wang , Antoine De Comite , Alexandra Voloshina , Monica Daley , Nidhi Seethapathi

We propose novel neural temporal models for predicting and synthesizing human motion, achieving state-of-the-art in modeling long-term motion trajectories while being competitive with prior work in short-term prediction and requiring…

Computer Vision and Pattern Recognition · Computer Science 2019-11-25 Anand Gopalakrishnan , Ankur Mali , Dan Kifer , C. Lee Giles , Alexander G. Ororbia

We present a Bayesian approach for modeling multivariate, dependent functional data. To account for the three dominant structural features in the data--functional, time dependent, and multivariate components--we extend hierarchical dynamic…

Methodology · Statistics 2019-07-02 Daniel R. Kowal , David S. Matteson , David Ruppert

We propose a procedure to estimate the fatigue loads on wind turbines, based in a recent framework used for reconstructing data series of stochastic properties measured at wind turbines. Through a standard fatigue analysis, we show that it…

Data Analysis, Statistics and Probability · Physics 2014-10-30 Pedro G. Lind , Matthias Wächter , Joachim Peinke

In this paper, we present a novel general framework grounded in the factor graph theory to solve kinematic and dynamic problems for multi-body systems. Although the motion of multi-body systems is considered to be a well-studied problem and…

Robotics · Computer Science 2021-07-27 José-Luis Blanco-Claraco , Antonio Leanza , Giulio Reina

Continual learning addresses the problem of continuously acquiring and transferring knowledge without catastrophic forgetting of old concepts. While humans achieve continual learning via diverse neurocognitive mechanisms, there is a…

Machine Learning · Computer Science 2023-12-07 Xiaoqian Liu , Junge Zhang , Mingyi Zhang , Peipei Yang

The human neuromuscular system consisting of skeletal muscles and neural circuits is a complex system that is not yet fully understood. Surface electromyography (EMG) can be used to study muscle behavior from the outside. Computer…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-16 Benjamin Maier

In movement ecology, the few works that have taken collective behaviour into account are data-driven and rely on simplistic theoretical assumptions, relying in metrics that may or may not be measuring what is intended. In the present paper,…

Quantitative Methods · Quantitative Biology 2019-03-18 Rocio Joo , Marie-Pierre Etienne , Nicolas Bez , Stéphanie Mahévas

Fatigue failure can be thought by studying the collective motions of defects inside materials instead of focusing on the growth of a pre-existing micro-crack. An experimental study of the statistical distribution of acoustic emissions…

Adaptation and Self-Organizing Systems · Physics 2010-11-03 C. Dunand-Chatellet , Z. Moumni