Dissertations and Theses @ UNI
Availability
Open Access Dissertation
Keywords
Older people--Home care; Home automation; Motion detectors;
Abstract
With aging population, the importance of caring for elderly people is getting more and more attention. In this paper, a low resolution thermopile array sensor is used to develop an activity recognition system for elderly people. The sensor is composed of a 32x32 thermopile array with the corresponding 33° × 33° field of view. The outputs of the sensor are sequential images in which each pixel contains a temperature value. According to the thermopile images, the activity recognition system first determines whether the target is within the tracking area; if the target is within the tracking area, the location of the target will be detected and three kinds of activities will be identified.
Keywords- Activity Recognition, Raspberry Pi, Thermopile, Imaging Processing.
Year of Submission
2021
Degree Name
Doctor of Industrial Technology
Department
Department of Technology
First Advisor
Hong Nie, Chair
Second Advisor
Jin Zju, Co-Chair
Date Original
5-2021
Object Description
1 PDF file (vii, 70 pages)
Copyright
©2021 Qingshan Liang
Language
en
File Format
application/pdf
Recommended Citation
Liang, Qingshan, "Activity recognition based on thermopile imaging array sensors" (2021). Dissertations and Theses @ UNI. 1088.
https://scholarworks.uni.edu/etd/1088
