Non-intrusive Human Behavior Monitoring Sensor for Health Care System

摘要

This paper presents a non-intrusive human behavior-monitoring sensor for health care system, especially for elderly person. The sensor detects operation of appliances with thorn like peak of electrical current generated by their working, and identifies patterns of daily residents' behavior based on the correlation of operating appliances. The sensor reduces the system cost by avoiding installation of massive sensors and keeps residents' privacy without intrusion of their private space. The human behavior-monitoring sensor is implemented by utilizing an algorithm with a wavelet transform method and is installed in five real residences for a couple of weeks. Accuracy of detecting operations of appliances and identifying life patterns are estimated through the field test.