Learning of facial gestures using SVMs

Jacky Baltes, Stela Seo, Chi Tai Cheng, M. C. Lau, John Anderson

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

Abstract

This paper describes the implementation of a fast and accurate gesture recognition system. Image sequences are used to train a standard SVM to recognize Yes, No, and Neutral gestures from different users. We show that our system is able to detect facial gestures with more than 80% accuracy from even small input images.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
Pages147-154
Number of pages8
Volume212 CCIS
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event14th FIRA RoboWorld Congress on Next Wave in Robotics, FIRA 2011 - Kaohsiung
Duration: 26 Aug 201130 Aug 2011

Publication series

NameCommunications in Computer and Information Science
Volume212 CCIS
ISSN (Print)18650929

Other

Other14th FIRA RoboWorld Congress on Next Wave in Robotics, FIRA 2011
CityKaohsiung
Period26/8/1130/8/11

Fingerprint

Gesture recognition

Keywords

  • Facial Recognition
  • Machine Learning
  • SVM

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Baltes, J., Seo, S., Cheng, C. T., Lau, M. C., & Anderson, J. (2011). Learning of facial gestures using SVMs. In Communications in Computer and Information Science (Vol. 212 CCIS, pp. 147-154). (Communications in Computer and Information Science; Vol. 212 CCIS). https://doi.org/10.1007/978-3-642-23147-6_18

Learning of facial gestures using SVMs. / Baltes, Jacky; Seo, Stela; Cheng, Chi Tai; Lau, M. C.; Anderson, John.

Communications in Computer and Information Science. Vol. 212 CCIS 2011. p. 147-154 (Communications in Computer and Information Science; Vol. 212 CCIS).

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

Baltes, J, Seo, S, Cheng, CT, Lau, MC & Anderson, J 2011, Learning of facial gestures using SVMs. in Communications in Computer and Information Science. vol. 212 CCIS, Communications in Computer and Information Science, vol. 212 CCIS, pp. 147-154, 14th FIRA RoboWorld Congress on Next Wave in Robotics, FIRA 2011, Kaohsiung, 26/8/11. https://doi.org/10.1007/978-3-642-23147-6_18
Baltes J, Seo S, Cheng CT, Lau MC, Anderson J. Learning of facial gestures using SVMs. In Communications in Computer and Information Science. Vol. 212 CCIS. 2011. p. 147-154. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-23147-6_18
Baltes, Jacky ; Seo, Stela ; Cheng, Chi Tai ; Lau, M. C. ; Anderson, John. / Learning of facial gestures using SVMs. Communications in Computer and Information Science. Vol. 212 CCIS 2011. pp. 147-154 (Communications in Computer and Information Science).
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