Human Behavior Recognition System Based on Infrared Array Sensors
召军 王, 志猛 许, 良琴 陈 · Infrared Technoiogy · 2020
With the increase in the aging population,the demand to identify and monitor the daily activities of the elderly is growing.A monitoring system can effectively prevent accidents of elderly people.The traditional activity monitoring system based on the use of camera or wearable sensors has issues,such as privacy violations and inconvenience of use.Therefore,this study designs a human behavior recognition system based on infrared array sensors.The system recognizes activities on different temperature distributions in the environment.There is no need for the sensor to be worn by the elderly.The sensor is small in size,easy to install indoors,and can work in the dark.In addition,the data acquired by the sensor have a low resolution;therefore,there is no privacy violation.The designed system has significant advantages over the traditional systems.The features are extracted from the obtained temperature data,and the K-nearest neighbors algorithm is used to identify the three poses of“walking,”“sitting,”and“falling.”The experimental results show that the average accuracy can reach 95%,of which the accuracies for falling,walking,and sitting are 97.5%,100%,and 92.5%,respectively.