I. Introduction
In recent years, the working population has decreased due to declining birthrate and aging population in Japan [1]. Especially, in a caregiving environment, the number of care recipients per caregiver has increased, and the heavy labor burden becomes a serious problem. It is important to detect sudden changes in the physical conditions of the recipients such as abnormal heart rate and respiratory rate. However, it is quite difficult for the caregivers to monitor the multiple recipients constantly. In general, a visible light camera or a miniaturized wearable terminal with an activity meter is used for constant monitoring. It is reported that the heart rate and respiratory rate are extracted from the camera image by using image processing with machine learning [2]. However, monitoring with a camera has a problem of infringing the recipient's privacy, and it is difficult to obtain the consent of the recipient. The way using wearable terminals also has a problem of giving physical and mental stress to the recipient due to contacting with the body all the time.