Matthias Weber

About

Matthias Weber is a leading researcher in rehabilitation robotics, with a core focus on restoring upper limb function in stroke survivors. His work masterfully bridges the gap between assistive technology and neurorehabilitation, pioneering hybrid systems that combine passive exoskeletons with EMG-controlled functional electrical stimulation (FES). Weber’s major contribution is the development of the RETRAINER system, a robotic hybrid assistance platform that encourages stroke patients to actively use their own arm and hand during therapy, rather than relying on passive movement. His most-cited paper (48 citations) introduces this concept, demonstrating how EMG-triggered FES, integrated with a lightweight exoskeleton, can facilitate structured, patient-driven exercise. Earlier work, such as his innovative "action capture" method for virtual character animation, showcases his broader expertise in human motion analysis. Weber’s research is characterized by a practical, patient-centered approach, aiming to make rehabilitation more effective by engaging the user’s own neuromuscular system. With a growing citation record and a key role in the European RETRAINER project, Weber is establishing himself as a significant voice in the quest for more intelligent, responsive rehabilitation technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   A Hybrid Robotic System for Arm Training of Stroke Survivors: Concept and First Evaluation

   48 citations · 2019
2. 2
   The combined action of a passive exoskeleton and an EMG-controlled neuroprosthesis for upper limb stroke rehabilitation: First results of the RETRAINER project

   34 citations · 2017
3. 3
   From motion capture to action capture

   15 citations · 2006
4. 4
   Reaching and Grasping Training based on Robotic Hybrid Assistance for Neurological Patients

   3 citations · 2016

Key Collaborators

Contact & Links