Deep-Learning Technique for Risk-based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array

• Published in: IEEE transactions on circuits and systems for video technology Vol. 33; no. 6; p. 1
• Main Authors: Morawski, Igor, Lie, Wen-Nung, Aing, Lee, Chiang, Jui-Chiu, Chen, Kuan-Ting
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accidents; action prediction; Artificial neural networks; Cameras; Deep learning; elderly monitoring; low resolution; Machine learning; Monitoring; Neural networks; Older adults; Older people; privacy; Real time operation; Recurrent neural networks; Sensor arrays; Sensors; Sociology; Statistics; Task analysis; thermopile sensor array; Thermopiles

Eldering caring is important in today's aging society, especially that accident anticipation/prevention plays an important role. In this paper, a novel approach to preventing elderly accidents based on a very low-resolution thermopile sensor array (TPA) (only 32×32 pixels) is proposed for predi...