The Online Gait Measurement for Characteristic Gait Animation Synthesis

  • Yasushi Makihara
  • Mayu Okumura
  • Yasushi Yagi
  • Shigeo Morishima
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6773)


This paper presents a method to measure online the gait features from the gait silhouette images and to synthesize characteristic gait animation for an audience-participant digital entertainment. First, both static and dynamic gait features are extracted from the silhouette images captured by an online gait measurement system. Then, key motion data for various gaits are captured and a new motion data is synthesized by blending key motion data. Finally, blend ratios of the key motion data are estimated to minimize gait feature errors between the blended model and the online measurement. In experiments, the effectiveness of gait feature extraction were confirmed by using 100 subjects from OU-ISIR Gait Database and characteristic gait animations were created based on the measured gait features.


Online Measurement Gait Feature Gait Recognition Double Support Phase Single Support Phase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yasushi Makihara
    • 1
  • Mayu Okumura
    • 1
  • Yasushi Yagi
    • 1
  • Shigeo Morishima
    • 2
  1. 1.The Institute of Scientific and Industrial ResearchOsaka UniversityIbarakiJapan
  2. 2.Department of Science and EngineeringWaseda UniversityTokyoJapan

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