Facial Temperature Markers for Mental Stress Assessment in Human-Machine Interface (HMI) Control System

He, Changjiang; Mahfouf, Mahdi; Torres-Salomao, L. A.

doi:10.5220/0006820700210028

Cited by 2 publications

(4 citation statements)

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“…The majority of studies conducted self-experiment to collect their dataset. A laboratory experiment was conducted in [62,68,69,74] to collect thermal images and other physiological signals.…”

Section: Type Of Datamentioning

confidence: 99%

“…There are many stresses stimulus widely used in literature; Stroop test, Trier Social Stress Test (TSST) [55,62,74], arithmetical questionnaire [61,68,69,71], mock crime scenario setup [70] and physical activities [55]. In [45], the participants were required to run on a treadmill to induce physical stress as this study aimed to differentiate physical stress and baseline status.…”

Section: Type Of Stress Stimulusmentioning

confidence: 99%

“…3, the majority of studies have used statistical features. For example, He et al [69] used maximum temperature, and mean. Derakhshan et al [70] extracted the six temporal features including mean, minimum, maximum, standard deviation, means of the absolute values of the first and seconds' derivatives of the pre-processed signals.…”

Section: Feature Extraction (Descriptors)mentioning

confidence: 99%

“…With Bonferroni-corrected pairwise comparisons, the correlation between induced stress state and the temperature changes in forehead, cheeks and perioral is acknowledged. He et al [69] justify the usefulness of using facial temperature to evaluate mental stress. The authors also attempted to evaluate the effectiveness of employing face temperature as a mental stress biomarker in comparison to other established biomarkers; HRV, TLI, and PDM.…”

Section: Facial Thermal Signature Correlation With Stress Statementioning

confidence: 99%

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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.

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Section: Type Of Datamentioning

confidence: 99%