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cs.CV2026
Impact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications
Damian M. Manzone, Mathew Szymanowski, Olga Taran +6
Mixed reality applications can be designed for hand rehabilitation. Augmented reality (AR) head mounted displays (HMDs) specifically allow for ecologically valid tasks because indi…
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…