Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis
作者：
Highlights：
• The emotional state of a person can be obtained by extracting individual stress index, which provides useful information to health field.
• This paper directs the frontier of industrializing stress recognition by focusing on establishing a set of non-contact imaging based classifications for emotional stress (ES) and Physical stress (PS).
• The proposed algorithm successfully extracts weak signal from thermal imaging for stress classification.
• The classification algorithm is effective with accuracy as high as 90%. This study can lead to a practical system for the noninvasive assessment of stress states for practical applications.
摘要
•The emotional state of a person can be obtained by extracting individual stress index, which provides useful information to health field.•This paper directs the frontier of industrializing stress recognition by focusing on establishing a set of non-contact imaging based classifications for emotional stress (ES) and Physical stress (PS).•The proposed algorithm successfully extracts weak signal from thermal imaging for stress classification.•The classification algorithm is effective with accuracy as high as 90%. This study can lead to a practical system for the noninvasive assessment of stress states for practical applications.
论文关键词：Emotional stress,Physical stress,Emotion classification
论文评审过程：Received 27 October 2016, Revised 10 September 2017, Accepted 17 December 2017, Available online 18 December 2017, Version of Record 27 December 2017.
论文官网地址：https://doi.org/10.1016/j.patcog.2017.12.013
