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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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 20; s. 7960
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 19.10.2022 MDPI
Predmet:	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
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