Abstract
The motion analysis and the estimation of somatosensory information (including muscle tension) have been researched, and these techniques can be applied to assist the sport training and rehabilitation. For these applications, the realtime estimation and visualization of motion data and somatosensory information is necessary. The existing method is, however, computationally expensive. In this paper, we propose a new algorithm to estimate the muscle tension and pipeline computation for that to estimate and visualize muscle tension in realtime using the optical motion capture system, electromyogram (EMG), dynamic muscle model, and dynamics computation. This system overlays a rendered musculoskeletal human model on top of the images from a standard video camera attached to the display, and the user feels as if seeing his/her muscles with tension information though the cloth and skin. The proposed method realize the estimation and visualization in 16 frame/sec, which is felt smoothly.
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