KANSEI analysis of dance performance

Antonio Camurri*, Shuji Hashimoto, Kenji Suzuki, Riccardo Trocca

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Citations (Scopus)


We propose a method to realize extractions of emotional information from human gestures in real time. The basic ideas of understanding the human motion is based on Rudolf Laban's theoretical work. The system we developed consists of two parts: (i) image processing, and (ii) motion analysis. The former part works to obtain human movement by using two color CCD camera, while the latter is involved in mapping physical parameters onto emotional information. We are trying to realize a sort of 'KANSEI extractor' as the last goal. Human can understand the emotional mode, such as happy, angry and sad, in which mode the actor performs. It seems that human movement carries emotional information although it is difficult to express the emotional effects with particular physical parameters. From this point of view, we aim to extract emotional information in dance performance with the aid of computer system based on Laban's theory of movement. In our proposed method, human motions are mapped onto low-dimensional parameter space in real time introducing two spaces: the general space and personal space.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1999
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15


Other1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
CityTokyo, Jpn

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering


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