A full-body gesture database for human gesture analysis

Bon Woo Hwang, Sungmin Kim, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This paper presents a full-body gesture database which contains 2D video data and 3D motion data of 14 normal gestures, 10 abnormal gestures and 30 command gestures for 20 subjects. We call this database the Korea University Gesture (KUG) database. Using 3D motion cameras and 3 sets of stereo cameras, we captured 3D motion data and 3 pairs of stereo-video data in 3 different directions for normal and abnormal gestures. In case of command gestures, 2 pairs of stereo-video data were obtained by 2 sets of stereo cameras with different focal lengths in order to capture views of whole body and upper body, simultaneously. The 2D silhouette data was synthesized by separating a subject and background in 2D stereo-video data. In this paper, we describe the gesture capture system, the organization of database, the potential usages of the database and the contact point for the KUG database. We expect that this database would be very useful for the study of 2D/3D human gesture and its application.

Original languageEnglish
Pages (from-to)1069-1084
Number of pages16
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Issue number6
Publication statusPublished - 2007 Sept

Bibliographical note

Funding Information:
This research was supported by the Intelligent Robotics Development Program, and the 21st Century Frontier R&D Programs funded by the Ministry of Commerce, Industry and Energy of Korea.


  • 3D human body model
  • Full body gesture database
  • Gesture recognition
  • Human motion analysis
  • Normal/abnormal/command gesture

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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