传感技术学报2016，Vol.29Issue(3)：378-383,6.DOI:10.3969/j.issn.1004-1699.2016.03.013
基于Kinect体感传感器的老年人跌倒自动检测
Automatic Fall Detection For the elderly Using Kinect Sensor
摘要
Abstract
Falls are one of the major risks for the elderly living alone at home.In order to get information of fall quickly and efficiently,an automatic fall detection method using depth image of human body based on Kinect sensor is put forward. Using depth image technology,the foreground depth image of human body is obtained to build the 3D bounding box of the foreground depth image. By computing the length,width and height value of the 3D bound⁃ing box and the change speed of these values,the accidental falls can be determined. Meanwhile,when the human body is blocked partly by obstructions,the fall detection and determination are solved by using the fusion algorithm of occluded objects. 26 kinds of test scenarios are arranged in indoor environment,the rate of false positives in the system is 2.0%~6.0%,and the rate of false negatives in the system is 0~4.0%. Expermental results indicate that the proposed method can realize human’s fall detection with much accuracy.关键词
传感器应用/跌倒检测/深度图像/三维包围盒/体感传感器Key words
sensor application/fall detection/depth image/3D bounding box/somatosensory sensor分类
信息技术与安全科学引用本文复制引用
瞿畅,孙杰,王君泽,朱小龙..基于Kinect体感传感器的老年人跌倒自动检测[J].传感技术学报,2016,29(3):378-383,6.基金项目
国家自然科学基金资助项目（61170171）；南通市前沿与关键技术创新计划项目 （）
