Leg prostheses, orthoses and exoskeletons become active movement assistance systems by individually and situation-specifically detecting their users’ movements and providing them with appropriate force and torque support. Such an assistive device can be “seamlessly” integrated into the human body schema if it is able to automatically recognize different movement intentions and consequently generates an intuitive and predictable motor behavior. In this way, it integrates seamlessly into the daily experiences of movement.
The research training group LokoAssist (RTG 2761 ) brings together researchers from different disciplines, such as human sciences, computer science, engineering, and medicine, in order to tackle the diverse and interdisciplinary challenges in the development of such assistance systems. In particular, the project area A3 investigates integrated sensors and sensor fusion in order to measure and analyze the state variables of the user as well as the assistance system, which is crucial for suitable assistance. Project number 450821862
