Faculty Publications
A Fall Detection System Based On A Thermopile Imaging Array And A Back Projection Algorithm
Document Type
Conference
Keywords
Back projection, Fall detection, Thermopile imaging array
Journal/Book/Conference Title
IEEE International Conference on Electro Information Technology
Volume
2020-July
First Page
60
Last Page
65
Abstract
In this paper, a fall detection system consisting of a thermopile imaging array with 80*64 pixels and a Raspberry Pi 3 has been developed. First, the thermal images captured by the hardware system are processed to eliminate fixed interferences and identify the human body. Then, the real height of the human body is estimated from the original height in the thermal images. Finally, after smoothing the fluctuation of the real height, fall events are detected according to the relative variations of the smoothed height. Our experiments show that the newly developed system and image processing algorithm can achieve much better performance on fall detection than other systems based on infrared sensors or sensor arrays.
Department
Department of Technology
Original Publication Date
7-1-2020
DOI of published version
10.1109/EIT48999.2020.9208276
Repository
UNI ScholarWorks, Rod Library, University of Northern Iowa
Language
en
Recommended Citation
Yu, Lei; Chen, Han; He, Hantao; Nie, Hong; Zhai, Xuping; and Xiong, Bangshu, "A Fall Detection System Based On A Thermopile Imaging Array And A Back Projection Algorithm" (2020). Faculty Publications. 285.
https://scholarworks.uni.edu/facpub/285
