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
Physical Human Intelligence
We develop multimodal AI methods to infer underlying motor and functional states from movement and physiology, aiming to detect impairment, characterize disease severity, and track functional change.
Personalized Rehabilitation
We investigate how rehabilitation robots and interactive games can adapt assistance, feedback, and challenge to each person, supporting motor learning, lasting recovery, and transfer to everyday activities.
Learning from Human Experience
We study how robots can learn from the way people acquire skills—including exploration, errors, and strategy changes—combining demonstrations, language, and movement to transfer knowledge across bodies and tasks.
Adaptive Human–Robot Collaboration
We investigate how people and robots adapt together when tasks or conditions change, coordinating roles, sharing information, and recovering from unexpected events to solve physical problems jointly.
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.