抄録
Grasping patient's daily health state is important for care plan and risk management. In this research, we developed two measurement systems that allows care staff to monitor patient's location at nursing home. One is a system which measures patient's head position on a bed and at bedside by using a Microsoft Kinect sensor. The system can measure the head location robustly by using an AdaBoost-based head recognition algorithm and a RANSAC-based bed recognition algorithm. The other location system is a system that measures the patient's indoor location in the nursing home by using radio communication. To confirm the effectiveness of these systems, we experimented in an actual nursing home and in the bedside environment created in our laboratory.
