This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (666) Applications of AI (195) Methods in Human Factors Research (54) Emerging Technologies for Rehabilitation (312)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56682, first published .
Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

Authors of this article:

Vaidehi Wagh1 Author Orcid Image ;   Matthew W Scott1, 2 Author Orcid Image ;   Sarah N Kraeutner1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Wen Y, Verma T, Whitehead J, Lee P. Empirical Validation of a Streamlined Three-Repetition Sit-to-Stand Protocol Using MAI Motion. Applied Sciences 2025;15(10):5688 View

Conference Proceedings

  1. Sun Y, Liu Z, Zhong Y, He H, Yin H, Lin G. 2025 IEEE 7th International Conference on Communications, Information System and Computer Engineering (CISCE). MediaPipe Landmark-Based Inter-Frame Gesture Stability Determination Algorithm View