Skilled workers of physical labor are performed efficiently work using a variety of skills. Skilled workers obtained skills from many years of experience. Therefore, it is difficult to find skills for beginners. In this paper, we propose a visualization method for the skill of skilled workers using the myopotential. In previous research, there are many methods of analysis for a single operation. However, it is not a suitable analysis method for physical labor's skill. We propose an analysis technique suitable for physical labor's work. By using the proposed method, it enables to compare the entire sequence of working with other workers.

In this paper, we propose a method that shows objectively the features of the behavior of the lower limbs in walking. In the proposed method, we quantify in consideration of the time for each one step by using the angular velocity waveform of heel. The results of the experiment, the analysis in consideration of the tempo, it was possible to show the time variation in walking. These results, even data having a high correlation value in the previous studies, it was suggested that it is possible to find different aspects by considering the tempo.

We report on a development of smartphone-based talking navigation system, tactile map/trajectory creation system, and analysis of irregular motions in experiments with visually impaired pedestrians.

In this study, we have developed a rhythm deviation visualization system. The system shows player's rhythm deviation using colors during a performance. The colors show the direction and amount of the deviation. If player's rhythm is correct, the system shows white color. If player's rhythm is fast, the system shows red color. If player's rhythm is slow, the system shows blue color. The colors changes in accordance on the amount. As a result, improvement of skills rhythm was observed by recognizing their own rhythm.