ViTAL Lab

Computational BehaVior and HealTh AnaLytics (ViTAL) Lab strives to develop Patient-centered Artificial Intelligence (AI) systems that are Scalable, Accessible, and Ethical to effectively improve the Healthcare system. Our mission is to develop Edge Computing, Computer Vision, and Machine Learning systems using distributed ambient, mobile, and wearable devices to monitor patients’ conditions in hospitals or everyday life. We are also invested in deploying and testing the developed AI systems in real-world clinical and daily living environments, actively collaborating with stakeholders in healthcare.

News $\mathtt{\&}$ Talks $\mathtt{\&}$ Media

2026/08/17	🏆 Dr. Kwon is awarded NIH R01 grant (1R01NS146515-01A1) from National Institute of Neurological Disorders and Stroke (NINDS) on “Scalable and Affordable Artificial Intelligence-driven Clinical Decision Support for Movement Disorders”. This 5-year grant will support developing scalable and accessible AI-driven technologies to objectively assess motor symptoms and mental health in people living with Parkinson’s disease (PD). We will integrate video, wearable technologies, remote interviews, and artificial intelligence to develop clinical decision-support tools that are co-designed with clinicians and engineers and validated in a real-world movement disorders center. We are incredibly fortunate to work with an outstanding interdisciplinary team, including J. Lucas McKay PhD MSCR (Emory Biomedical Informatics & Neurology), Christine Esper (Emory Neurology), Azra Ismail (Emory Biomedical Informatics & Global Health), David Anderson (Georgia Tech ECE), Stewart Factor (Emory Neurology), and Richa Tripathi (Emory Neurology). I am sincerely grateful to our collaborators, colleagues, mentors, and everyone who supported us in reaching this milestone.
2026/07/05	🎙 Dr. Kwon organized a workshop at ACM Interactive Health ‘26 titled, “GenAI and Synthetic Data in Healthcare: Exploring the Design and Use of AI-Generated Data for Interactive Health Systems” along with esteemed organizers in HCI and health research.
2026/06/23	📖 Preprint alert! We demonstrated that wearable-based behavior sensing in naturalistic/therapeutic environments can sense the cognitive impairment and fall risks in Mild Cognitive Impairment.