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
| 2026/06/23 | 📖 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. |
| 2026/06/13 | 🏆 Lauhitya Reddy delivered an outstanding TED-style podium presentation that earned runner-up for the Best Podium Award at Gait and Clinical Movement Anlaysis Society (GCMAS) Annual Meeting 2026. Check out the preprint! |
| 2026/05/20 | 📖 Preprint alert! We demonstrate AIGaitor — an on-device, end-to-end markerless motion analysis framework that runs entirely on an iPhone/iPad, without requiring cloud connectivity or external GPUs, integrating Markerless motion capture, deep learning–based gait classification, and an on-device LLM-powered interface. This work, posted on Arxiv, is led by Lauhitya Reddy with the excellent co-mentorship of Dr. Trisha Kesar from Emory Rehabilitation Medicine. |
Acknowledgments
Our previous and current sponsors or collaborators include:
