TY - GEN
T1 - Construction of symbolic representation from human motion information
AU - Araki, Yutaka
AU - Arita, Daisaku
AU - Taniguchi, Rin Ichiro
AU - Uchida, Seiichi
AU - Kurazume, Ryo
AU - Hasegawa, Tsutomu
PY - 2006
Y1 - 2006
N2 - In general, avatar-based communication has a merit that it can represent non-verbal information. The simplest way of representing the non-verbal information is to capture the human action/motion by a motion capture system and to visualize the received motion data through the avatar. However, transferring raw motion data often makes the avatar motion unnatural or unrealistic because the body structure of the avatar is usually a bit different from that of the human beings. We think this can be solved by transferring the meaning of motion, instead of the raw motion data, and by properly visualizing the meaning depending on characteristics of the avatar's function and body structure. Here, the key issue is how to symbolize the motion meanings. Particularly, the problem is what kind of motions we should symbolize. In this paper, we introduce an algorithm to decide the symbols to be recognized referring to accumulated communication data, i.e., motion data.
AB - In general, avatar-based communication has a merit that it can represent non-verbal information. The simplest way of representing the non-verbal information is to capture the human action/motion by a motion capture system and to visualize the received motion data through the avatar. However, transferring raw motion data often makes the avatar motion unnatural or unrealistic because the body structure of the avatar is usually a bit different from that of the human beings. We think this can be solved by transferring the meaning of motion, instead of the raw motion data, and by properly visualizing the meaning depending on characteristics of the avatar's function and body structure. Here, the key issue is how to symbolize the motion meanings. Particularly, the problem is what kind of motions we should symbolize. In this paper, we introduce an algorithm to decide the symbols to be recognized referring to accumulated communication data, i.e., motion data.
UR - http://www.scopus.com/inward/record.url?scp=33750710083&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750710083&partnerID=8YFLogxK
U2 - 10.1007/11893004_27
DO - 10.1007/11893004_27
M3 - Conference contribution
AN - SCOPUS:33750710083
SN - 3540465375
SN - 9783540465379
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 212
EP - 219
BT - Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
PB - Springer Verlag
T2 - 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
Y2 - 9 October 2006 through 11 October 2006
ER -