Abstract
Sensor shoes for measuring foot pressure distribution were developed and the analysis method to discriminate the user's movement from the foot pressure distribution was examined. Seven actions such as running and walking stairs could be respectively discriminated from 10 feature quantities extracted from 3 sensors by linear discriminant analysis and from six discriminant functions using feature quantities extracted from five sensors by canonical discriminant analysis. The evaluation results showed the high accuracy of behavior recognition.
