指の３次元形状を考慮した爪色触覚センサの開発

抄録

We are aiming to develop a nail color tactile sensor that can be easily attached to human fingertips to accurately record tactile information. The sensor will estimate both vertical and shear forces applied to the fingertip using machine learning algorithms based on changes in nail color. Previous prototypes have encountered challenges due to relative displacement between the sensor and the finger during attachment and detachment, resulting in decreased accuracy in force estimation. Therefore, in this study, we are focusing on mitigating the effects of attachment and detachment by incorporating the 3D shape of each individual's finger into the sensor design.