ICSIP 2019 Invited Speaker

 

Prof. Yannick Benezeth, University Bourgogne Franche-Comte, France

Speech Title:Emotional State Classification using Pulse Rate Variability

Abstract!"Humans are continually exposed to emotional stimuli. Gesture, voice intonation, and facial expressions are among the most popular cues that describe our changing emotions. However, the physiological systems that govern our bodily functions are also impacted by the different emotions that we feel. One particular physiological phenomenon has turned out to be an excellent indicator of the autonomic function. It is the spontaneous fluctuations in the heart rhythms, which can be described by the pulse rate variability (PRV). In this work, the PRV is obtained using remote photoplethysmography with an advanced interbeat interva detection method based on the slope sum function. We prove that from a simple RGB camera, it is possible to assess the emotional state of a person by analysing their pulse rate variations. This optimistic finding is supported by surprising results and an accuracy rate of around 60% on the CAS(ME)2 dataset. This is the first study to propose an emotion classification based on a physiological signal analysis using CAS(ME)2."

Biography:Yannick Benezeth is an associate professor at the Univ. Bourgogne Franche-Comté (France). He obtained his Ph.D. in computer science from the Univ. of Orléans in 2009. He also received the engineering degree from the ENSI de Bourges and the MS degree from the University of Versailles-Saint-Quentin-en-Yvelines in 2006. He also worked as a research fellow at the Orange labs and INRIA (Rennes – France) between 2009 and 2011. He has co-supervised or is supervising 8 Ph.D. students since 2011. He was a reviewer of significant scientific journals (IEEE Trans. on Image Processing, IEEE Trans. on Circuits and Systems for Video Technology, Pattern Recognition letters, …) and international conferences. He was visiting researcher of Univ. de Sherbrooke (Canada), NECTEC (Thailand), Univ. Magdeburg (Germany) and Boston University (USA). He participated in several French or international projects in the field of computer vision (CNRS, ANR, PHC, etc.).

His research interests include biomedical engineering, image processing, and video analytics. Application areas include video health monitoring and endoscopy. Since 2009, he has published 17 international journals and 40 international conferences and patents. His papers have been cited more than 1900 times, according to Google Scholar.