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Human Gait Activity Recognition Machine Learning Methods [PDF]
Sensors, 2023 Human gait activity recognition is an emerging field of motion analysis that can be applied in various application domains. One of the most attractive applications includes monitoring of gait disorder patients, tracking their disease progression and the ...
Jan Slemenšek +6 more
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Human gait recognition based on multiview gait sequences [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 Copyright © 2008 X. Huang and N. V. Boulgouris. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is ...
Boulgouris, NV, Huang, X
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Modeling and Analysis of Foot Function in Human Gait Using a Two-Degrees-of-Freedom Inverted Pendulum Model with an Arced Foot [PDF]
Bioengineering, 2023 Gait models are important for the design and control of lower limb exoskeletons. The inverted pendulum model has advantages in simplicity and computational efficiency, but it also has the limitations of oversimplification and lack of realism.
Qian Xiang +5 more
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Robot-Assisted Targeted Gait Training [PDF]
Journal of Kinesiology and Exercise Sciences, 2023 Background: Millions of people are affected yearly by “runner’s knee” and osteoarthritis, which is thought to be related to impact force. Millions are also affected by chronic falling, who are usually both difficult to identify and train.
Vaughn Chambers +2 more
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Contributions of spatial and temporal control of step length symmetry in the transfer of locomotor adaptation from a motorized to a non-motorized split-belt treadmill [PDF]
Royal Society Open Science, 2021 Walking requires control of where and when to step for stable interlimb coordination. Motorized split-belt treadmills which constrain each leg to move at different speeds lead to adaptive changes to limb coordination that result in after-effects (e.g ...
Daniel L. Gregory +2 more
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Physiological Reports, 2023 This case characterizes the clinical motor, perceived fatigue, gait and balance, cardiovascular, neuromuscular, and cardiopulmonary responses after cycling 7850 km over 85 days in a physically active 57‐year‐old male with idiopathic Parkinson's disease ...
Muhammad M. Kathia +10 more
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Comparing system identification techniques for identifying human-like walking controllers
Royal Society Open Science, 2021 While human walking has been well studied, the exact controller is unknown. This paper used human experimental walking data and system identification techniques to infer a human-like controller for a spring-loaded inverted pendulum (SLIP) model.
Dave Schmitthenner, Anne E. Martin
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Applied Sciences, 2023 The aim of the present study was to determine the level of association of the spatio-temporal gait parameters in subjects with and without plantar fasciopathy.
Pablo Cervera-Garvi +4 more
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A Novel Criticality Analysis Technique for Detecting Dynamic Disturbances in Human Gait
Computers, 2022 The application of machine learning (ML) has made an unprecedented change in the field of medicine, showing a significant potential to automate tasks and to achieve objectives that are closer to human cognitive capabilities. Human gait, in particular, is
Shadi Eltanani +2 more
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Human Gait Analysis Metric for Gait Retraining [PDF]
Applied Bionics and Biomechanics, 2019 The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter’s effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries.
Tyagi Ramakrishnan +2 more
openaire +3 more sources