Research

Estimate the user's state (concentration, arousal, fatigue, discomfort, ...) during desk work using information such as facial expression, gaze, posture, and heart rate. Applicable to learning support in e-learning, etc.

Estimate the degree of activity and cooperation during dialogues and group work using information such as posture and voice. Applicable to communication understanding, and evaluation and support of group learning.

Recognize Individuals and estimate their gender, age, etc., using walking videos. Applicable to access control, surveillance, forensics, marketing, etc.

Estimate fatigue state, body composition (e.g., BMI), diseases, etc., using walking videos. Applicable to health management and early detection of diseases.

Internal states such as emotions are not easy to estimate even if many sensors are used. By inducing unconscious behavior through small changes in the external environment, we can increase sensing information and improve the accuracy of state estimation.

The thermal and lighting environments people feel comfortable in vary from person to person, and the indoor environment in which work progresses differs depending on the work content. The system estimates the user's condition and, according to it, realizes an optimal indoor environment.