Research Article
Contactless Detection of Facial Signs Related to Stress: A Preliminary Study
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257249, author={Dimitris Manousos and Galateia Iatraki and Eirini Christinaki and Matthew Pediaditis and Franco Chiarugi and Manolis Tsiknakis and Kostas Marias}, title={Contactless Detection of Facial Signs Related to Stress: A Preliminary Study}, proceedings={Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies}, publisher={IEEE}, proceedings_a={APHS}, year={2014}, month={12}, keywords={stress contactless detection face detection facial signs head movement eyebrows movement blink rate}, doi={10.4108/icst.mobihealth.2014.257249} }- Dimitris Manousos
Galateia Iatraki
Eirini Christinaki
Matthew Pediaditis
Franco Chiarugi
Manolis Tsiknakis
Kostas Marias
Year: 2014
Contactless Detection of Facial Signs Related to Stress: A Preliminary Study
APHS
ICST
DOI: 10.4108/icst.mobihealth.2014.257249
Abstract
This paper presents a contactless methodology for detecting facial signs related to stress. A brief literature review shows that there are specific facial signs that are related to stressful conditions. A methodology based on computer vision techniques applied to color videos in order to extract facial signs such as movement (head), eyebrow lowering and raising, and blink rate is presented. Various facial features are investigated and are quantitatively evaluated through a frame-to-frame analysis. Preliminary results with few volunteers reveal a direct correlation of the selected facial signs with stress conditions. These initial results confirm our hypothesis regarding the possibility of assessing stress from facial expressions. However, these preliminary results should be quantitatively verified on a more comprehensive dataset containing a significant number of subjects in order to validate the algorithm results.