Body
Data
Interface Lab
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In BDI LAB,
We
Sense more. Decode faster. Interface smarter. end-to end.
Transform biosignal noise to human-machine interfaces.
Turn the silent 99% into usable intelligence.
With Wearable Computing, Ambient and Smart Sensing; Continuously, Real-time
What we aim
What we aim
Enhance the way people interact with computing
We build bio-signal models and sensing interfaces that translate the body's complex data streams into actionable, real-time commands. By developing wearables, electronics, remote systems, and efficient machine learning algorithms, we decode human intent, load, and physiological states directly from the source.
Our goal is to fundamentally enhance the way people interact with computing, creating truly adaptive and intuitive human-machine interfaces that respond not just to our actions, but also to our internal state.
Personalized and preventive human event
Our lab advances Artificial Intelligence to shift the focus of healthcare from reactive treatment to proactive prevention. We engineer predictive interfaces that analyze continuous, multi-modal data from smart sensing systems to identify subtle patterns of human cues and events.
These interfaces significantly help individuals and clinicians detect issues early and intervene quickly, introducing a future of personalized, preventive computing.
Scaling AI sensing for Personalized Development
We are scaling AI system to provide personalized learning and developmental support for children and adults.
By creating context-aware Ambient Intelligence systems, we aim to understand, respond to, and intervene in each child's and adult's unique developmental needs in real-time. Our work focuses on designing supportive technologies that make individualized education a richer, engaging and effective learning experience.
Contact Us
BDI (Body Data Interface) Lab
Yoon Jae Lee
Georgia State University
1 Park Place NE, 660
Atlanta, GA, 30303
P: 404-626-7654
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