Multivideo Models for Classifying Hand Impairment After Stroke Using Egocentric Video

Objectives: After stroke, hand function assessments are used as outcome measures to evaluate new rehabilitation therapies, but do not reflect true performance in natural environments. Wearable (egocentric) cameras provide a way to capture hand function information during activities of daily living (...

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Bibliographic Details

Published in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Main Authors:	Anne Mei, Meng-Fen Tsai, Jose Zariffa
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Computer vision egocentric video hand impairment multi-video models stroke
Online Access:	https://ieeexplore.ieee.org/document/11115139/