Biometric valence and arousal recognition

Christian Martyn Jones, Tommy Troen

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

33 Citations (Scopus)


A real-time user-independent emotion detection system using physiological signals has been developed. The system has the ability to classify affective states into 2-dimensions using valence and arousal. Each dimension ranges from 1 to 5 giving a total of 25 possible affective regions. Physiological signals were measured using 3 biometric sensors for Blood Volume Pulse (BVP), Skin Conductance (SC) and Respiration (RESP). Two emotion inducing experiments were conducted to acquire physiological data from 13 subjects. The data from 10 of these subjects were used to train the system, while the remaining 3 datasets were used to test the performance of the system. A recognition rate of 62% for valence and 67% for arousal was achieved within +/- 1 units of the valence and arousal rating.

Original languageEnglish
Title of host publicationAustralasian Computer-Human Interaction Conference, OZCHI'07
Number of pages4
Publication statusPublished - 2007
EventAustralasian Computer-Human Interaction Conference - Adelaide, SA, Australia
Duration: 28 Nov 200730 Nov 2007


ConferenceAustralasian Computer-Human Interaction Conference
Abbreviated titleOZCHI'07
CityAdelaide, SA


  • Affective computing
  • Biometrics
  • Emotion recognition
  • Valence and arousal


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