Deng, Daniel
Ostrem, Jill L.
Nguyen, Vy
Cummins, Daniel D. http://orcid.org/0000-0003-2742-5669
Sun, Julia
Pathak, Anupam
Little, Simon http://orcid.org/0000-0001-6249-6230
Abbasi-Asl, Reza http://orcid.org/0000-0001-7824-4628
Funding for this research was provided by:
UCSF Innovation Ventures
Article History
Received: 9 November 2023
Accepted: 14 June 2024
First Online: 25 June 2024
Competing interests
: MediaPipe is a free and open-source software package, and we implemented a publicly available version of this with all data analysis performed within UCSF. A.P. provided advice and technical advice only. The primary clinical study through which the data was collected was funded by an anonymous Philanthropy gift to the UCSF Movement Disorders and Neuromodulation Center. The UCSF analysis pipeline covering machine learning analysis of kinematic data (independent of specific pose estimation software) for PD severity classification has been filed as a provisional patent (no. 63/530,566). All other authors declare no competing interests.