5 papers
Benchmarking Video Foundation Models for Remote Parkinson's Disease Screening
Md Saiful Islam, Ekram Hossain, Abdelrahman Abdelkader +11
Video-based assessments offer a scalable pathway for remote Parkinson's disease (PD) screening. While traditional approaches rely on handcrafted features mimicking clinical scales,…
Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
Masum Hasan, Cengiz Ozel, Nina Long +5
Hand pose estimation plays a vital role in capturing subtle nonverbal cues essential for understanding human affect. However, collecting diverse, expressive real-world data remains…
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis
Md Saiful Islam, Tariq Adnan, Jan Freyberg +8
Limited accessibility to neurological care leads to underdiagnosed Parkinson's Disease (PD), preventing early intervention. Existing AI-based PD detection methods primarily focus o…
A Novel Fusion Architecture for PD Detection Using Semi-Supervised Speech Embeddings
Tariq Adnan, Abdelrahman Abdelkader, Zipei Liu +4
We present a framework to recognize Parkinson's disease (PD) through an English pangram utterance speech collected using a web application from diverse recording settings and envir…
Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
Tariq Adnan, Md Saiful Islam, Wasifur Rahman +6
We present an efficient and accessible PD screening method by leveraging AI-driven models enabled by the largest video dataset of facial expressions from 1,059 unique participants.…