We conduct research on decoding changes in neural activity associated with human intent using signal processing and machine learning for device control. Specifically, we are developing communication technologies that utilize pupil responses to flickering lights. We also study methods to adjust exercise rehabilitation loads according to individual abilities. Our goal is to support the compensation and recovery of physical functions through engineering.