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Research on Trend Analysis Model of Movement Features Based on Big Data

  • Hai ZouEmail author
  • Xiaofeng Xu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 279)

Abstract

The motion feature data capture can well preserve the details of the motion and truly record the trajectory of the motion. It has been widely used in many fields such as virtual reality, three-dimensional games, film and television effects, and so on. With the widespread application of motion feature capture, how to analyze the trend data of sports features has become a hot topic. The main purpose of the trend analysis of the research motion characteristics is to better understand and describe the motion process of the objects so as to manage and reuse the motion capture data in the motion capture database. For the existing motion feature capture data in the motion capture database, the motion feature data behavior is precisely segmented, the motion template is extracted and calculated more quickly and efficiently, the motion behavior is identified, and the motion behavior in the motion sequence segment is automatically identified.

Keywords

Big data Motion feature Human motion information 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Continuing Education CenterZaozhuang Vocational College of Science and TechnologyTengzhouChina
  2. 2.Department of Physical EducationBaoji Vocational and Technical CollegeBaojiChina

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