• DocumentCode
    1609666
  • Title

    Emotion from Game pidgin language using SVM

  • Author

    Rudra, Tarashankar ; Kavakli, Manolya ; Tien, David

  • Author_Institution
    Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper explores the possibility of sensing emotional states of neutral or anger from pidgin utterances using Support vector machine (SVM). The objective of the paper is to show that in speech interactive computer games, a new language called Game pidgin language (GPL) can not only generate real time spoken response from the non-player-character but also capture and express emotions.
  • Keywords
    computer games; emotion recognition; human computer interaction; interactive systems; speech recognition; support vector machines; SVM; anger state; emotion recognition; game pidgin language; human-computer interaction; neutral state; speech interactive computer game; support vector machine; Animation; Data mining; Emotion recognition; Humans; Natural languages; Peer to peer computing; Speech processing; Support vector machine classification; Support vector machines; Vocabulary; GPL; Pidgin; SVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing & Informatics, 2006. ICOCI '06. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-0219-9
  • Electronic_ISBN
    978-1-4244-0220-5
  • Type

    conf

  • DOI
    10.1109/ICOCI.2006.5276526
  • Filename
    5276526