Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction

Background: Gait recognition has been applied in the prediction of the probability of elderly flat ground fall, functional evaluation during rehabilitation, and the training of patients with lower extremity motor dysfunction. Gait distinguishing between seemingly similar kinematic patterns associate...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 20; p. 7960
Main Authors:	Chen, Biao, Chen, Chaoyang, Hu, Jie, Sayeed, Zain, Qi, Jin, Darwiche, Hussein F., Little, Bryan E., Lou, Shenna, Darwish, Muhammad, Foote, Christopher, Palacio-Lascano, Carlos
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 19.10.2022 MDPI
Subjects:	Accuracy Aged Algorithms Artificial Intelligence Biometry Cameras Computer vision Computers convolutional neural network Data analysis Experiments Falls Fitness equipment Gait Geriatrics Humans long short-time memory Machine Learning Machine vision Neural networks Older people Pattern recognition Software Support Vector Machine Support vector machines Walking United States Massachusetts Washington Alaska United Kingdom > UK Florida United States > US support vector machine k nearest neighbor gait convolutional neural network long short-time memory machine learning fall recognition pattern recognition
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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