Understanding humans through movement
PHI Lab at Bar-Ilan University studies what human movement and physiological signals reveal about health, motor function, and adaptation. Our research combines machine learning, computer vision, and multimodal sensing to support clinical assessment and personalized rehabilitation. We also investigate how robots learn from human experience and how people and robots adapt and solve physical tasks together.
Research
Selected Publications
Bridge-Disease Curriculum Transfer Enables Smartphone-Based Balance Assessment in Rare Neurologic Disorders
Diffusion-Augmented Spatiotemporal Graph Convolution for Clinical Gait and Motor Function Assessment
Speech-to-trajectory: learning intuitive verbal guidance for robot motion
DiG-Net: Enhancing Human–Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics
Connect with PHI Lab
Interested in research collaboration or joining PHI Lab? We welcome inquiries from prospective students and collaborators.