About this document
Egocentric Video for Stroke Hand Use Analysis by vunamhoangyk is a document available to read on EtoBox.
This study proposes a wearable system using egocentric cameras and computer vision to assess hand use and roles in stroke survivors during daily activities. The results indicate that the system can effectively predict hand use and classify the roles of the more-affected hand, with F1-scores demonstrating its feasibility. This technology aims to provide a more accurate measure of upper limb function in real-life settings, addressing limitations of current clinical assessments.
- Author
- vunamhoangyk
- Language
- EN