Intuitive interaction with wearable technology

The ability to provide intuitive, safe, and needs-based support to users is one of the key functions of all physical assistance systems. This is based primarily on the accurate interpretation of user intent through the processing of motion variables and biosignals (e.g., EMG and ECG). Pattern recognition algorithms and concepts of machine learning and sensor fusion are used for this purpose. A current research topic in this area is the control of needs-based support for industrial exoskeletons.

Admittance and impedance control approaches based on human-machine system models are used for the safe control of the supporting forces, for example, to smoothly guide exoskeleton arms or to impart stable behavior to serially elastic actuators. Numerical software and rapid prototyping systems from renowned manufacturers accelerate the design process and ensure high reliability through intensive test runs. However, the design does not stop at simulation, but is implemented in hardware and optimized in human-in-the-loop test runs.

We support you in:

• Designing controlled drive systems for humans
• Developing control algorithms using rapid prototyping systems
• Designing algorithms for recognizing and interpreting movements or biosignals
• Designing and implementing the electronics and software architecture
• Human-in-the-loop optimization