Philip Tschiemer’s research while affiliated with ETH Zurich and other places

Embedding complex mathematical algorithms in a wearable system requires a suitable software approach in order that the needs of the programmer and processor are met. This paper reports ongoing work in which wearable computing is combined with high level gesture recognition in order to examine body motions in natural environments. Tai Chi movements are recognized using a Hidden Markov Model (HMM) approach and the emphasis is given to the practical results obtained and the embedded approach.