Year: 2009
Type: conference-paper
Abstract: Affective computing is a branch of artificial intelligence that deals\nwith the design of devices which can process human emotions. The data\ngathered by passive sensors can be compared to the cues humans use to\nperceive the affective state of others (e.g. a video camera might capture facial\nexpressions, body posture or gestures). An automatic, machine-based emotion\nrecognition system could operate on the basis of the output of these sensors.\nCCTV surveillance is a potential application for such a system which might be\nused to constantly monitor for mal-intent through the emotional cues exhibited\nby surveillance targets and alert CCTV operators as appropriate. Previous\nresearch showed that firearms are known to elicit certain emotional states in\ntheir bearers. Consequently, these states might be reflected in the change of the\nindividuals body language. The potential for automating the detection of the\nassociated emotional cues in image processing algorithms is discussed.
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2465516753