Diğer, ss.270, 2014
In this study, development of a wearable embedded system design for real time motion tracking and processing is aimed. Real time motion data is captured by bendable textile sensors. . Accordingly, the rate of angle changes in the joints are measured by conductive impregnated fibers inside the sensing regions. Resistance of such fibers change due to strecthing ratio of the cloth. Processing of such data makes possible to analyse motion in real time. Measured data is processed by an embedded microcontroller board on the cloth to detect recent motion is proper for physiotherapy or not. Evaluation of analog data is achieved via hidden markov model. Which makes possible to recognize motion patterns inside the raw analog data came from resistive regions on the cloth.