LAFCam: Leveraging affective feedback camcorder

  • Authors:
  • Andrea Lockerd;Florian Mueller Mueller

  • Affiliations:
  • MIT Media Lab, Cambridge, MA;MIT Media Lab, Cambridge, MA

  • Venue:
  • CHI '02 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2002

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Abstract

If a video camera recognizes and records affective data from the camera operator, this data can help determine which sequences will be interesting to the camera operator at a later time. In the case of home videos, the camera operator is likely to also be the editor and narrator of the final video. LAFCam is a system for recording and editing home video. We facilitate the process of browsing and provide automatic editing features by indexing where the camera operator laughed and visualizing the skin conductivity and facial expressions in the editing session.