This study aims to identify the touch position on the forearm using the electrical impedance method. The proposed method enables users to input data to a smartwatch by touching their forearm. As a prototype, we developed an electronic circuit for measuring the electrical impedance using electrodes and a microcontroller for a biological surface, and identification software using SVM in Python.

In this study, we propose a new input method using a mask-type interface for mobile terminals in situations where hand or voice input is difficult, such as in a crowded train. This method can be used in public places because it does not require hand or voice input. By using conductive yarn as the sensor, it can be realized as an inexpensive disposable mask. In this study, we implemented a mask-type interface by attaching capacitive sensors to the mask.

We propose a new input method for smartphones that combines flicking and eye movement. In this study, we propose a new input method for smartphones that combines flicking and eye movement. We propose a new input method for smartphones using a combination of flicking and eye movement, which allows the user to perform operations such as pinch-in as an alternative to multi-touch gestures even when operating with one hand. In addition, it is possible to perform operations such as using physical buttons and bezels without changing the grasping posture. To achieve this, we implemented a gaze estimation system using a smart phone and investigated its performance.