Integrating remote PPG in facial expression analysis framework

H. Emrah Tasli, Amogh Gudi, Marten Den Uyl

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

This demonstration paper presents the FaceReader framework where human face image and skin color variations are analyzed for observing facial expressions, vital signs including but not limited to average heart rate (HR), heart rate variability (HRV) and also the stress and confidence levels of the person. Remote monitoring of the facial and vital signs could be useful for wide range of applications. FaceReader uses active appearance modeling for facial analysis and novel signal processing techniques for heart rate and variability estimation. The performance has been objectively evaluated and psychological guidelines for stress measurements are in- corporated in the framework for analysis.

Original languageEnglish
Title of host publicationICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction
PublisherAssociation for Computing Machinery (ACM)
Pages74-75
Number of pages2
ISBN (Electronic)9781450328852
DOIs
Publication statusPublished - 12 Nov 2014
Externally publishedYes
Event16th ACM International Conference on Multimodal Interaction, ICMI 2014 - Istanbul, Turkey
Duration: 12 Nov 201416 Nov 2014

Publication series

NameICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction

Conference

Conference16th ACM International Conference on Multimodal Interaction, ICMI 2014
CountryTurkey
CityIstanbul
Period12/11/1416/11/14

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