Affective Computing.pdf (132.64 kB)
Potential applications of affective computing in the surveillance work of CCTV operators
conference contribution
posted on 2010-02-12, 15:01 authored by Anastassia Blechko, Iain T. Darker, Alastair GaleAffective computing is a branch of artificial intelligence that deals
with the design of devices which can process human emotions. The data
gathered by passive sensors can be compared to the cues humans use to
perceive the affective state of others (e.g. a video camera might capture facial
expressions, body posture or gestures). An automatic, machine-based emotion
recognition system could operate on the basis of the output of these sensors.
CCTV surveillance is a potential application for such a system which might be
used to constantly monitor for mal-intent through the emotional cues exhibited
by surveillance targets and alert CCTV operators as appropriate. Previous
research showed that firearms are known to elicit certain emotional states in
their bearers. Consequently, these states might be reflected in the change of the
individuals body language. The potential for automating the detection of the
associated emotional cues in image processing algorithms is discussed.
History
School
- Science
Department
- Computer Science
Citation
BLECHKO, A., DARKER, I.T., and GALE, A.G., 2009. Potential applications of affective computing in the surveillance work of CCTV operators. IN: DVD Proceedings of the 13th International Conference on Human-Computer Interaction, San Diego, CA, USA, 19-24th July 2009, pp. 826-830. Berlin Heidelberg: Lecture Notes in Computer Science : Springer LNCS 5610-5624, 5638, 5639, ISBN 9783642028847Publisher
© Springer VerlagVersion
- NA (Not Applicable or Unknown)
Publication date
2009Notes
This is a conference paper. Further details are available from; http://www.springer.com/computer+science/hci/book/978-3-642-02944-8ISBN
9783642028847Language
- en