@Article{cmes.2021.016985,
AUTHOR = {Darshan Babu L. Arasu, Ahmad Sufril Azlan Mohamed, Nur Intan Raihana Ruhaiyem, Nagaletchimee Annamalai, Syaheerah Lebai Lutfi, Mustafa M. Al Qudah},
TITLE = {Human Stress Recognition from Facial Thermal-Based Signature: A Literature Survey},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {130},
YEAR = {2022},
NUMBER = {2},
PAGES = {633--652},
URL = {http://www.techscience.com/CMES/v130n2/45961},
ISSN = {1526-1506},
ABSTRACT = {Stress is a normal reaction of the human organism which triggered in situations that require a certain level of
activation. This reaction has both positive and negative effects on everyone’s life. Therefore, stress management
is of vital importance in maintaining the psychological balance of a person. Thermal-based imaging technique is
becoming popular among researchers due to its non-contact conductive nature. Moreover, thermal-based imaging
has shown promising results in detecting stress in a non-contact and non-invasive manner. Compared to other
non-contact stress detection methods such as pupil dilation, keystroke behavior, social media interaction and
voice modulation, thermal-based imaging provides better features with clear boundaries and requires no heavy
methodology. This paper presented a brief review of previous work on thermal imaging related stress detection in
humans. This paper also presented the stages of stress detection based on thermal face signatures such as dataset
type, thermal image face detection, feature descriptors and classification performance comparisons are presented.
This paper can help future researchers to understand stress detection based on thermal imaging by presenting the
popular methods previous researchers use for stress detection based on thermal images.},
DOI = {10.32604/cmes.2021.016985}
}