Role of machine learning in gait analysis: a review
P Khera, N Kumar - Journal of Medical Engineering & Technology, 2020 - Taylor & Francis
Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …
number of interdependent parameters that were difficult to interpret due to a vast amount of …
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
Insole-based systems for health monitoring: Current solutions and research challenges
Wearable health monitoring devices allow for measuring physiological parameters without
restricting individuals' daily activities, providing information that is reflective of an individual's …
restricting individuals' daily activities, providing information that is reflective of an individual's …
Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters
Gait analysis is used in research and clinical environments; yet several limitations exist in
current methodologies. Markerless systems, utilizing high-speed video and artificial …
current methodologies. Markerless systems, utilizing high-speed video and artificial …
Human gait analysis using machine learning: A review
SM Alfayeed, BS Saini - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The gait analysis is interpreted to include an overwhelming number of interrelated
parameters, which, due to the high volume of data and their relationships and is difficult to …
parameters, which, due to the high volume of data and their relationships and is difficult to …
Brain–computer interface and assist-as-needed model for upper limb robotic arm
A Kapsalyamov, S Hussain… - Advances in …, 2019 - journals.sagepub.com
Post-stroke paralysis, whereby subjects loose voluntary control over muscle actuation, is
one of the main causes of disability. Repetitive physical therapy can reinstate lost motions …
one of the main causes of disability. Repetitive physical therapy can reinstate lost motions …
A new mechanism for collision detection in human–robot collaboration using deep learning techniques
Human–robot collaboration is increasingly present not only in research environments, but
also in industry and many contemporary day-to-day activities. There is a need for the …
also in industry and many contemporary day-to-day activities. There is a need for the …
Artificial Intelligence Approach in Biomechanical Analysis of Gait.
The objective of the current investigation was to conduct a biomechanical analysis of human
gait based on the Unsupervised machine learning–Artificial Intelligence approach. Twenty …
gait based on the Unsupervised machine learning–Artificial Intelligence approach. Twenty …
Gait classification of stroke survivors-An analytical study
D Mathur, D Bhatia - Journal of Interdisciplinary Mathematics, 2022 - Taylor & Francis
Gait of post-stroke patients have been analyzed and classified in this paper. Data pertaining
to gait of both post-stroke patients and healthy people of the same age group were obtained …
to gait of both post-stroke patients and healthy people of the same age group were obtained …
[HTML][HTML] A global bibliometric and visualized analysis of gait analysis and artificial intelligence research from 1992 to 2022
T Bao, J Gao, J Wang, Y Chen, F Xu… - Frontiers in Robotics …, 2023 - frontiersin.org
Gait is an important basic function of human beings and an integral part of life. Many mental
and physical abnormalities can cause noticeable differences in a person's gait. Abnormal …
and physical abnormalities can cause noticeable differences in a person's gait. Abnormal …