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

Changjiang He, M. Mahfouf, L. A. Torres-Salomao

2018

Abstract

Mental state prediction is of great importance to human-machine interface (HMI) as far as both safety and reliability are concerned. In this paper, the use of facial temperature changes for predicting mental stress has been investigated. A carefully designed experiment of HMI has been performed on seven (7) healthy subjects, and the statistical analysis of the results has been provided, and the effectiveness of using facial temperature with the thermal camera to estimate the human mental stress has been established. The biomarkers developed from the data of facial temperature have exhibited a similar or even better ability to differentiate between the mental stress levels in comparison with the traditional biomarkers (e.g. heart rate variability (HRV), task load index (TLI) and pupil size). The mean nasal temperature has been shown to be sensitive to changes in the mental state, and the maximum facial temperature and the mean forehead temperature have also shown clear correlations with mental stress and task performance.

Paper Citation

in Harvard Style

He C., Mahfouf M. and A. Torres-Salomao L. (2018). Facial Temperature Markers for Mental Stress Assessment in Human-Machine Interface (HMI) Control System.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-321-6, pages 21-28. DOI: 10.5220/0006820700210028

in Bibtex Style

@conference{icinco18,
author={Changjiang He and M. Mahfouf and L. A. Torres-Salomao},
title={Facial Temperature Markers for Mental Stress Assessment in Human-Machine Interface (HMI) Control System},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2018},
pages={21-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006820700210028},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Facial Temperature Markers for Mental Stress Assessment in Human-Machine Interface (HMI) Control System
SN - 978-989-758-321-6
AU - He C.
AU - Mahfouf M.
AU - A. Torres-Salomao L.
PY - 2018
SP - 21
EP - 28
DO - 10.5220/0006820700210028