Mental health management in the workplace has attracted increasing attention in recent years. As sleep is an essential physiological function that is strongly related to mental condition, easy and daily sleep management is considered essential for maintaining good mental health. In this paper, we detected roll-over movements during sleep using a wearable armband-shaped sensor, SenseWear Pro₂ Armband. We then classified sleep depth into two stages, light sleep and deep sleep, based on roll-over frequency. We also propose a new index designated the Sleep Quality Score (SQS). Finally, we performed long-term measurement and compared SQS in healthy people and patients with major depression disorder.

Personal robots, which are expected to become popular in the future, are required to be active in joint work and community life with humans. Such robots must have no bad physical or psychical effect on humans. The psychical effect of a robot on humans has been subjectively measured using questionnaires. However, it has not been objectively measured yet. Human emotion and the consciousness direction can be measured by physiological parameters and body motion, respectively. Therefore, the bioinstrumentation system WB-1 was developed in order to objectively measure the psychical effect of a robot on a human. It can measure physiological parameters such as respiration, heart rate, perspiration and pulse wave, and arm motion. Analyzing human stress in the interaction with a robot from electrocardiogram, the robot could generate a motion for decreasing the stress