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Facial Expression Recognition with sEMG Method

Mingzhe Jiang, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, Facial Expression Recognition with sEMG Method. In: Yulei Wu, Geyong Min, Nektarios Georgalas, Jia Hu, Luigi Atzori, Xiaolong Jin, Stephen Jarvis, Lei Liu, Ramón Agüero (Eds.), Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on , 981 – 988, IEEE, 2015.

http://dx.doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.148

Abstract:

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

BibTeX entry:

@INPROCEEDINGS{inpJiRaWeLiTe15a,
  title = { Facial Expression Recognition with sEMG Method},
  booktitle = {Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on },
  author = {Jiang, Mingzhe and Rahmani, Amir-Mohammad and Westerlund, Tomi and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Wu, Yulei and Min, Geyong and Georgalas, Nektarios and Hu, Jia and Atzori, Luigi and Jin, Xiaolong and Jarvis, Stephen and Liu, Lei and Agüero, Ramón},
  publisher = {IEEE},
  pages = {981 – 988},
  year = {2015},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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