PARK: Parkinson's Analysis with Remote Kinetic-tasks
November 21, 2023 Β· Declared Dead Β· π 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
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Authors
Md Saiful Islam, Sangwu Lee, Abdelrahman Abdelkader, Sooyong Park, Ehsan Hoque
arXiv ID
2311.12654
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
2
Venue
2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Last Checked
4 months ago
Abstract
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.
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