Linguistic Interpretation of Human Motion Based on Mental Image Directed Semantic Theory

  • Authors:

  • Mikio Amano;Daisuke Hironaka;Seio Oda;Genci Capi;Masao Yokota

  • Affiliations:

  • Fukuoka Institute of Technology;Fukuoka Institute of Technology;Fukuoka Institute of Technology;Fukuoka Institute of Technology;Fukuoka Institute of Technology

  • Venue:
  • AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
  • Year:
  • 2005

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Abstract

The Mental Image Directed Semantic Theory (MIDST) has proposed an intermediate knowledge representation scheme based on an omnisensual mental image model. This paper presents a formal language for describing multimedia contents, L_md, whose syntax and semantics are based on MIDST and its application to linguistic interpretation of human motion data obtained through a motion capture system, which we think will serve for linguistic summarization of immense amount of time-sequenced non-linguistic data such as movies.