A real time classifier for emotion and stress recognition in a vehicle driver

M. Paschero, G. Del Vescovo, L. Benucci, A. Rizzi, Marco Santello, G. Fabbri, F. M Frattale Mascioli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Recently there is a great interest in artificial systems able to understand and recognize human emotions. In this paper an Emotion Recognition System based on classical neural networks and neuro-fuzzy classifiers is proposed. Emotion recognition is performed in real time starting from a video stream acquired by a common webcam monitoring the user's face. Neurofuzzy classifiers, in comparison with Multi Layer Perceptron trained by EBP algorithm, show very short training times, allowing applications with easy and automated set up procedures, to be used in a wide range of applications, from entertainment to safety. The algorithm yields very interesting performances and can be adopted to recognize emotions as well as possible pathological conditions of the individual to be monitored.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Industrial Electronics
Pages1690-1695
Number of pages6
DOIs
StatePublished - 2012
Event21st IEEE International Symposium on Industrial Electronics, ISIE 2012 - Hangzhou, China
Duration: May 28 2012May 31 2012

Other

Other21st IEEE International Symposium on Industrial Electronics, ISIE 2012
CountryChina
CityHangzhou
Period5/28/125/31/12

Fingerprint

Classifiers
Multilayer neural networks
Neural networks
Monitoring

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Paschero, M., Del Vescovo, G., Benucci, L., Rizzi, A., Santello, M., Fabbri, G., & Mascioli, F. M. F. (2012). A real time classifier for emotion and stress recognition in a vehicle driver. In IEEE International Symposium on Industrial Electronics (pp. 1690-1695). [6237345] https://doi.org/10.1109/ISIE.2012.6237345

A real time classifier for emotion and stress recognition in a vehicle driver. / Paschero, M.; Del Vescovo, G.; Benucci, L.; Rizzi, A.; Santello, Marco; Fabbri, G.; Mascioli, F. M Frattale.

IEEE International Symposium on Industrial Electronics. 2012. p. 1690-1695 6237345.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Paschero, M, Del Vescovo, G, Benucci, L, Rizzi, A, Santello, M, Fabbri, G & Mascioli, FMF 2012, A real time classifier for emotion and stress recognition in a vehicle driver. in IEEE International Symposium on Industrial Electronics., 6237345, pp. 1690-1695, 21st IEEE International Symposium on Industrial Electronics, ISIE 2012, Hangzhou, China, 5/28/12. https://doi.org/10.1109/ISIE.2012.6237345
Paschero M, Del Vescovo G, Benucci L, Rizzi A, Santello M, Fabbri G et al. A real time classifier for emotion and stress recognition in a vehicle driver. In IEEE International Symposium on Industrial Electronics. 2012. p. 1690-1695. 6237345 https://doi.org/10.1109/ISIE.2012.6237345
Paschero, M. ; Del Vescovo, G. ; Benucci, L. ; Rizzi, A. ; Santello, Marco ; Fabbri, G. ; Mascioli, F. M Frattale. / A real time classifier for emotion and stress recognition in a vehicle driver. IEEE International Symposium on Industrial Electronics. 2012. pp. 1690-1695
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