114 citations · 184 across the 9 of their papers we have counts for
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cs.CV2024
Detecting Activities of Daily Living in Egocentric Video to Contextualize Hand Use at Home in Outpatient Neurorehabilitation Settings
Adesh Kadambi, José Zariffa
Wearable egocentric cameras and machine learning have the potential to provide clinicians with a more nuanced understanding of patient hand use at home after stroke and spinal cord…
cs.CV2024
Benchmarking 2D Egocentric Hand Pose Datasets
Olga Taran, Damian M. Manzone, Jose Zariffa
Hand pose estimation from egocentric video has broad implications across various domains, including human-computer interaction, assistive technologies, activity recognition, and ro…
cs.CV2024
A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury
Mehdy Dousty, David J. Fleet, José Zariffa
Hand function is critical for our interactions and quality of life. Spinal cord injuries (SCI) can impair hand function, reducing independence. A comprehensive evaluation of functi…