A Fall Detection System Based on a Thermopile Imaging Array and a Back Projection Algorithm
Yu Lei, Han Chen, Hantao He, Hong Nie, Xuping Zhai, Bangshu Xiong · 2020
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.