Seating State Estimation by a Soft Object with Photo Sensor Array
Yuki Shinozaki, Naomi Furui, Yuta Sugiura, Maki Sugimoto


Sitting on chairs is very common in daily life. We think that encouraging to sit with a low-burden posture or to move the muscles may improve health condition. We propose a system to estimate the seating state, which can easily be placed onto existing chair using a device that blends into user’s daily life. Our system estimates the sitting posture by measuring the shape deformation of a cushion using photo sensors incorporated into the sponge of the cushion. We have implemented a prototype of the device to estimate the seating state.