Construction of Symbolic Representation from Human Motion Information

作者: Yutaka Araki , Daisaku Arita , Rin-ichiro Taniguchi , Seiichi Uchida , Ryo Kurazume

DOI: 10.1007/11893004_27

关键词:

摘要: In general, avatar-based communication has a merit that it can represent non-verbal information. The simplest way of representing the information is to capture human action/motion by motion system and visualize received data through avatar. However, transferring raw often makes avatar unnatural or unrealistic because body structure usually bit different from beings. We think this be solved meaning motion, instead data, properly visualizing depending on characteristics avatar’s function structure. Here, key issue how symbolize meanings. Particularly, problem what kind motions we should symbolize. paper, introduce an algorithm decide symbols recognized referring accumulated i.e., data.

参考文章(7)
Peter Grünwald, A Tutorial Introduction to the Minimum Description Length Principle arXiv: Statistics Theory. ,(2004)
J. Lin, Finding Motifs in Time Series knowledge discovery and data mining. ,(2002)
Daisaku Arita, Rin-ichiro Taniguchi, Real-time human proxy: an avatar-based interaction system international conference on multimedia and expo. ,vol. 3, pp. 419- 425 ,(2004) , 10.1007/978-3-540-30132-5_60
Jessica Lin, Eamonn Keogh, Stefano Lonardi, Bill Chiu, A symbolic representation of time series, with implications for streaming algorithms Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery - DMKD '03. pp. 2- 11 ,(2003) , 10.1145/882082.882086
Yijuan Lu, Ira Cohen, Xiang Sean Zhou, Qi Tian, Feature selection using principal feature analysis Proceedings of the 15th international conference on Multimedia - MULTIMEDIA '07. pp. 301- 304 ,(2007) , 10.1145/1291233.1291297
Yoshiki Tanaka, Kazuhisa Iwamoto, Kuniaki Uehara, Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle Machine Learning. ,vol. 58, pp. 269- 300 ,(2005) , 10.1007/S10994-005-5829-2
博昭 迫江, Ryo Kurazume, Hiroaki Sakoe, 勉 長谷川, 亮 倉爪, 倫一郎 谷口, Rin-ichiro Taniguchi, Tsutomu Hasegawa, Seiichi Uchida, 明慧 森, 誠一 内田, Akihiro Mori, Early Recognition of Gestures korea japan joint workshop on frontiers of computer vision. pp. 80- 85 ,(2005)