# PARK: Parkinson's Analysis with Remote Kinetic-tasks

arXiv: https://arxiv.org/abs/2311.12654 · HTML: https://mlsanity.com/paper/2311.12654/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 14 references that are in the map.
- First posted on arXiv 21 Nov 2023.

## Builds on (most cited first, 2 of 2)

- [Using AI to Measure Parkinson's Disease Severity at Home](https://mlsanity.com/paper/2303.17573/) (2023)
- [EchoWear: Smartwatch Technology for Voice and Speech Treatments of Patients with Parkinson's Disease](https://mlsanity.com/paper/1612.07608/) (2016)

## Built on by (most cited first, 1 of 1)

- [Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation](https://mlsanity.com/paper/2406.03599/) (2024)

## Abstract (arXiv)

We present a web-based framework to screen for Parkinson's disease (PD) by allowing users to perform neurological tests in their homes. Our web framework guides the users to complete three tasks involving speech, facial expression, and finger movements. The task videos are analyzed to classify whether the users show signs of PD. We present the results in an easy-to-understand manner, along with personalized resources to further access to treatment and care. Our framework is accessible by any major web browser, improving global access to neurological care.