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Title: Remote Kinematic Analysis for Mobility Scooter Riders Leveraging Edge AI
Current kinematic analysis for patients with upper or lowerextremity challenges is usually performed indoors at the clin-ics, which may not always be accessible for all patients. Onthe other hand, mobility scooter is a popular assistive toolused by people with mobility disabilities. In this study, weintroduce a remote kinematic analysis system for mobilityscooter riders to use in their local communities. In order totrain the human pose estimation model for the kinematic anal-ysis application, we have collected our own mobility scooterriding video dataset which captures riders’ upper-body move-ments. The ground truth data is labeled by the collaboratingclinicians. The evaluation results show high system accuracyboth in the keypoints prediction and in the downstream kine-matic analysis, compared with the general-purpose pose mod-els. Our efficiency test results on NVIDIA Jetson Orin Nanoalso validate the feasibility of running the system in real-timeon edge devices.  more » « less
Award ID(s):
2318671
PAR ID:
10625193
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
AAAI Press
Date Published:
Journal Name:
Proceedings of the AAAI Symposium Series
Volume:
4
Issue:
1
ISSN:
2994-4317
Page Range / eLocation ID:
314 to 318
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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