Concurrent validity of human pose tracking in video for measuring gait parameters in older adults: a preliminary analysis with multiple trackers, viewing angles, and walking directions

Background Many of the available gait monitoring technologies are expensive, require specialized expertise, are time consuming to use, and are not widely available for clinical use. The advent of video-based pose tracking provides an opportunity for inexpensive automated analysis of human walking in...

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Bibliographic Details
Published in:	Journal of neuroengineering and rehabilitation Vol. 18; no. 1; pp. 1 - 16
Main Authors:	Mehdizadeh, Sina, Nabavi, Hoda, Sabo, Andrea, Arora, Twinkle, Iaboni, Andrea, Taati, Babak
Format:	Journal Article
Language:	English
Published:	London BioMed Central 15.09.2021 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Adults Aged Algorithms Analysis Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biosensors Cameras Coefficient of variation Deep learning Gait Gait recognition Human pose estimation Libraries Machine learning Measurement methods Motion capture Neurology Neurosciences Older people Parameters Physiological aspects Rehabilitation Medicine Sensors Three dimensional motion Tracking Validity Video cameras Video data Viewing Walking Young adults Netherlands Deep learning Walking Human pose estimation Gait
ISSN:	1743-0003, 1743-0003
Online Access:	Get full text
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