The purpose of this study is to confirm that the motion discrimination system constructed this time is useful. In this study, the author thought that it is possible to identify the motion from the change in the force applied to the sole of the foot. The author constructed a system that automatically identifies movements by combining data measured with sensor shoes with multiple 3-axis tactile sensors and supervised machine learning. This time, 3-axis tactile sensors is placed on heel, hallux, thenar, and hypothenar in insole of sensor shoes. A machine learning model was constructed using 12 data obtained from 4 locations. In the experiment, daily movements of walking, climbing stairs, descending, climbing slopes, and descending were performed. Using the constructed machine learning, motion discrimination was performed by changing the combination of the two motions, and the accuracy was evaluated. As a result, it was confirmed that the motion discrimination system constructed this time is useful.