LAFCam - leveraging affective feedback camcorder

Andrea Lockerd, Florian Mueller

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

28 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationConference on Human Factors in Computing Systems - Proceedings 2002
PublisherAssociation for Computing Machinery (ACM)
Pages574-575
Number of pages2
Publication statusPublished - 2002
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2002 - Minneapolis, United States of America
Duration: 20 Apr 200225 Apr 2002
Conference number: 20th

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2002
Abbreviated titleCHI 2002
CountryUnited States of America
CityMinneapolis
Period20/04/0225/04/02

Keywords

  • Annotation
  • Bio-signal
  • Browsing
  • Camcorder
  • Camera-on-camera
  • Fac ial expression
  • Galvanic skin response
  • Index
  • Laughter detection
  • Picture-in-picture
  • Video editing

Cite this