Combining Multiple Sensor Features For Stress Detection using Combinatorial Fusion

• Main Authors: DENG, Yong, HSU, D. F., Wu, Z., CHU, Chao-Hsien
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Cognitive diversity; combinatorial fusion; correlation; feature combination; feature selection; multiple scoring systems; rank-score characteristic (RSC) function; sensor fusion; stress identification; Computer Sciences; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2237; http://dx.doi.org/10.1142/S0219265912500089
• Institution: Singapore Management University

Physiological sensors have been used to detect different stress levels in order to improve human health and well-being. When analyzing these sensor data, sensor features are generated in the experiment and a subset of the features are selected and then combined using a host of informatics techniques...