Nils Hammerla, School of Computing Science, Newcastle University
Research Group Systems
Through sensors worn on the body or embedded into objects of daily use we can reliably infer the activities performed by a subject in their everyday life. However, so far relatively little work has been invested into a further, detailed analysis of these segmented activities, although extracting their characteristics, i.e. how these activities were performed, would be beneficial to a variety of applications. An automated, objective assessment of motor performance would have great impact on fields such as sports, rehabilitation or pain therapy. Particularly in medicine, the diagnosis and management of degenerative conditions such as Parkinson's Disease would be greatly improved if motor skills can be assessed reliably with an automated system. In this seminar, different real-life applications and suitable computational approaches will be introduced and discussed on a conceptual level.
Published: 24th January 2012