Laser & Optoelectronics Progress, Volume. 57, Issue 21, 210402(2020)
Fall Behavior Detection and Analysis Using a Kinect Sensor
High-risk work site environments are complex and dangerous and responsible for many fall accidents and casualties. To detect the fall behavior of workers, a human fall detection method using a Kinect sensor was proposed. Based on depth images obtained using a Kinect, we extracted body joint points information and determined whether a human body fell by calculating the changes of the relative position entropy and speed of the joint points. Through comparative experiments, a set of skeleton joint points with the highest fall recognition rate were determined: head, shoulders, knees, and center points. Experimental data show that the method can detect fall behaviors more quickly and accurately compared with the conventional methods.
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Ma Zongfang, Li Jing, Cao Longxin. Fall Behavior Detection and Analysis Using a Kinect Sensor[J]. Laser & Optoelectronics Progress, 2020, 57(21): 210402
Category: Detectors
Received: Feb. 10, 2020
Accepted: --
Published Online: Oct. 26, 2020
The Author Email: Jing Li (1370976638@qq.com)