Real-time human motion analysis for human-machine interface

Rin Ichiro Taniguchi, Satoshi Yonemoto, Daisaku Arita, Ryuya Hoshino

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

2 Citations (Scopus)


This paper presents real-time human motion analysis for human-machine interface. In general, man-machine 'smart' interface requires real-time human motion capturing systems without special devices or markers. Although vision-based human motion capturing systems do not use such special devices and markers, they are essentially unstable and can only acquire partial information because of self-occlusion. When we analyze full-body motion, the problem becomes more severer. Therefore, we have to introduce a robust pose estimation strategy to deal with relatively poor results of image analysis. To solve this problem, we have developed a method to estimate full-body human postures, where an initial estimation is acquired by real-time inverse kinematics and, based on the estimation, more accurate estimation is searched for referring to the processed image. The key point is that our system can estimate full-body human postures from limited perceptual cues such as positions of a head, hands and feet, which can be stably acquired by silhouette contour analysis.

Original languageEnglish
Title of host publicationProceedings of the Working Conference on Advanced Visual Interfaces, AVI 2002
Number of pages8
Publication statusPublished - 2002
EventWorking Conference on Advanced Visual Interfaces, AVI 2002 - Trento, Italy
Duration: May 22 2002May 24 2002

Publication series

NameProceedings of the Workshop on Advanced Visual Interfaces AVI


OtherWorking Conference on Advanced Visual Interfaces, AVI 2002

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction


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