Research areas

Clinical Movement Control and Rehabilitation

Applying advanced computational methods, we analyze the body movements of patients with neurological movement disorders. Goals of this work are to identify and to quantify disorder-specific or lesion-specific changes in movement patterns, including especially complex whole-body movements like gait or interactive tasks, and the diagnosis of preclinical symptoms of movement disorders. Our work addresses movement deficits associated with various neurological disorders, including cerebellar ataxia, Parkinson's disease, and apraxia. Another focus of this work is the investigation of motor adaptation and training effects in normal participants and during motor rehabilitation training for neurological patients.

Research areas

Neural and Computational Principles of Action and Social Processing

We investigate the mechanisms of the perception of body movements, and their relationship with motor execution and social signals. Our work combines psychophysical experiments and the development of physiologically-inspired neural models in close collaboration with electrophysiologists at the HIH and the CIN. In addition, exploiting advanced methods from computer animation and Virtual Reality (VR), we investigate the perception of body movements (facial and body expressions) in social communication, and its deficits in psychiatric disorders, such as schizophrenia or autism spectrum disorders.

Research areas

Biomedical and Biologically-motivated Technical Applications

Brains control and recognize body and facial movements better than any existing technical system. We study the computational principles underlying recognition and motor control of body movements in biological systems and transfer relevant principles to technical applications. Application domains include computer graphics, computer vision, and humanoid robotics. In these fields, the modeling  of movements of humans becomes increasingly important. In additon, we exploit such technical systems for movement synthesis and recognition in the context of biomedical applications, such as rehabilitation training. 

The research leading to these results has received funding from, Koroibot FP7-ICT-2013-10/ 611909; DFG GI 305/4-1, DFG GZ: KA 1258/15-1; FP7-PEOPLE-2011-ITN(Marie Curie): ABC PITN-GA-011-290011,CogIMon H2020 ICT-23-2014 /644727, HFSP RGP0036/2016, BMBF FKZ 01GQ1704

Short: Koroibot FP7-611909, DFG GI 305/4-1, DFG GZ: KA 1258/15-1; ABC PITN-GA-011-290011, CogIMon H2020 ICT-644727, HFSP RGP0036/2016, BMBF FKZ 01GQ1704

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