Search Results for author: José Zariffa

Found 4 papers, 1 papers with code

A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury

no code implementations26 Mar 2024 Mehdy Dousty, David J. Fleet, José Zariffa

A comprehensive evaluation of function in home and community settings requires a hand grasp taxonomy for individuals with impaired hand function.

Measuring hand use in the home after cervical spinal cord injury using egocentric video

no code implementations31 Mar 2022 Andrea Bandini, Mehdy Dousty, Sander L. Hitzig, B. Catharine Craven, Sukhvinder Kalsi-Ryan, José Zariffa

Background: Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its ability to detect functional use in the home environment.

An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications

1 code implementation27 Aug 2019 Ryan J. Visée, Jirapat Likitlersuang, José Zariffa

Significance: The method proposed here, in combination with wearable cameras, will help clinicians directly measure hand function in a patient's daily life at home, enabling independence after SCI.

Hand Detection

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