TY - GEN
T1 - Early recognition and prediction of gestures
AU - Mori, Akihiro
AU - Uchida, Seiichi
AU - Kurazume, Ryo
AU - Taniguchi, Rin Ichiro
AU - Hasegawa, Tsutomu
AU - Sakoe, Hiroaki
PY - 2006
Y1 - 2006
N2 - This paper is concerned with an early recognition and prediction algorithm of gestures. Early recognition is the algorithm to provide recognition results before input gestures are completed. Motion prediction is the algorithm to predict the subsequent posture of the performer by using early recognition. In addition to them, this paper considers a gesture network for improving the performance of these algorithms. The performance of the proposed algorithm was evaluated by experiments of real-time control of a humanoid by gestures.
AB - This paper is concerned with an early recognition and prediction algorithm of gestures. Early recognition is the algorithm to provide recognition results before input gestures are completed. Motion prediction is the algorithm to predict the subsequent posture of the performer by using early recognition. In addition to them, this paper considers a gesture network for improving the performance of these algorithms. The performance of the proposed algorithm was evaluated by experiments of real-time control of a humanoid by gestures.
UR - http://www.scopus.com/inward/record.url?scp=34047206203&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047206203&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2006.467
DO - 10.1109/ICPR.2006.467
M3 - Conference contribution
AN - SCOPUS:34047206203
SN - 0769525210
SN - 9780769525211
T3 - Proceedings - International Conference on Pattern Recognition
SP - 560
EP - 563
BT - Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
T2 - 18th International Conference on Pattern Recognition, ICPR 2006
Y2 - 20 August 2006 through 24 August 2006
ER -