'Affective' computing and emotion recognition systems: the future of biometric surveillance?

  • Authors:
  • Joseph Bullington

  • Affiliations:
  • Georgia Southern University, Statesboro, GA

  • Venue:
  • InfoSecCD '05 Proceedings of the 2nd annual conference on Information security curriculum development
  • Year:
  • 2005

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Abstract

This paper concerns a subtopic of a larger research program called affective computing, referred to as affect recognition (the terms 'affect recognition' and 'emotion recognition' will be used interchangeably in this paper). It is proposed that computer systems based on affect recognition could play an important role in the next generation of biometric surveillance systems. In order to introduce affect recognition and its possible applications to the information security community, the present paper will explore the intersection of several groups of technologies, among them: surveillance camera networks, ubiquitous computing, biometrics, face recognition, and affective computing. Three possible scenarios for the deployment of affect recognition will then be briefly discussed. The implementation of these systems will represent the realization of an important goal for the security industry, the automation of real-time prediction of human behavior and intention. Before this goal can be achieved, however, many technical and ethical issues will have to be resolved.