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Projects

We compute various musculoskeletal indicators of human performance when the driver is operating a vehicle under normal and emergency maneuvering.
We have developed online algorithms to transfer motion from a human demonstrator to Honda's humanoid robot, ASIMO.
This project presents a control theoretic approach for human pose estimation from a set of key feature points detected using depth image streams obtained from a time of flight imaging device.
Utilizing the latest wearable sensing technologies and patented motion prediction algorithms, the goal is to predict human movement and perform biomechanical computations based on those predictions.