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Facial expression recognition with sEMG method
KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics. University of Turku, Finland.
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2015 (English)In: Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 981-988 p.Conference paper (Refereed)Text
Abstract [en]

Facial expression recognition has broad application prospects in the fields of psychological study, nursing care, Human Computer Interaction as well as affective computing. The method with surface Electromyogram (sEMG), which is one of vital bio-signals, has its superiority in several aspects such as high temporal resolution and data processing efficiency over other methods. Researches regarding EMG signal to study emotional expression have started since the second half of last century. Meanwhile, studies on myoelectrical control systems focusing on the computation of bio-signal processing and data analysis have been blooming in the recent twenty years. To have a comprehensive view of utilizing facial sEMG method, a systematic review is presented in this paper for facial expression recognition from experiment design to measurement systems, and data analysis steps.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 981-988 p.
Keyword [en]
Facial expression recognition, Human Computer Interaction, SEMG, Biomedical signal processing, Control system analysis, Data handling, Electromyography, Information analysis, Signal processing, Ubiquitous computing, Affective Computing, Bio-signal processing, Emotional expressions, High temporal resolution, Measurement system, Surface electromyogram, Face recognition
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-186797DOI: 10.1109/CIT/IUCC/DASC/PICOM.2015.148ISI: 000380514500147ScopusID: 2-s2.0-84964285666ISBN: 9781509001545OAI: oai:DiVA.org:kth-186797DiVA: diva2:931377
Conference
15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, 26 October 2015 through 28 October 2015
Note

QC 20160527

Available from: 2016-05-27 Created: 2016-05-13 Last updated: 2016-09-21Bibliographically approved

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Rahmani, AmirTenhunen, Hannu
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