EXPLORING SUBTLE FOOT PLANTAR-BASED GESTURES USING SOCK-PLACED PRESSURE SENSORS 靴下型圧力センサを用いた微小な足の動きによるジェスチャ

We use our hands to control a computing device (e.g. personal computers and mobile devices). However, our hands often get busy in our life, such as during cooking and carrying bags. Though a number of interaction techniques using foot-based gestures have been proposed to solve this problem, users need to move their feet largely; these gestures are not private and sometimes annoyance to perform in a public space. In this thesis, we propose subtle foot-based gestures named foot plantar-based (FPB) gestures that are used with sock-placed pressure sensors. In this system, the user can control a computing device by changing his or her foot plantar distributions, e.g., pressing the oor with his or her toe. Because such foot movement is subtle, it is suitable for use especially in a public space such as a crowded train. In this work, we focus on a user-de ned gesture that is designed by the end-users, not developers of this system. We rst conduct a guessability study that asks people what is the appropriate gesture for a specic command to control the computing device. Then, we implement a gesture recognizer with a machine learning technique. To avoid unexpected gesture activations