Application of Machine Vision in Classifying Gait Frailty Among Older Adults

Application of Machine Vision in Classifying Gait Frailty Among Older Adults

Background: Frail older adults have an increased risk of adverse health outcomes and premature death. They also exhibit altered gait characteristics in comparison with healthy individuals.Methods: In this study, we created a Fried’s frailty phenotype (FFP) labelled casual walking video set of older...

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Autores principales: Yixin Liu, Xiaohai He, Renjie Wang, Qizhi Teng, Rui Hu, Linbo Qing, Zhengyong Wang, Xuan He, Biao Yin, Yi Mou, Yanping Du, Xinyi Li, Hui Wang, Xiaolei Liu, Lixing Zhou, Linghui Deng, Ziqi Xu, Chun Xiao, Meiling Ge, Xuelian Sun, Junshan Jiang, Jiaoyang Chen, Xinyi Lin, Ling Xia, Haoran Gong, Haopeng Yu, Birong Dong
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
frailty
gait
machine vision
biomarkers
preventative health care
feature extraction
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Acceso en línea:https://doaj.org/article/c0a946e4167348d7a1c06c176bb6f847
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https://doaj.org/article/c0a946e4167348d7a1c06c176bb6f847

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