TY - GEN
T1 - Incremental learning of hand gestures based on submovement sharing
AU - Kawahata, Ryo
AU - Wang, Yanrung
AU - Shimada, Atsushi
AU - Yamashita, Takayoshi
AU - Taniguchi, Rin Ichiro
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - This paper presents an incremental learning method for hand gesture recognition that learns the individual movements in each gesture of a user. To recognize the movement, we use a subunit-based dynamic time warping method, which treats a hand movement as a sequence of ubmovements. In our method, each hand movement is decomposed into submovements and the arrangement of submovements is reflected in the training sample database. Experimental results from the lassification of ten gestures demonstrate that our method can improve the recognition rate compared with a method without incremental learning. In addition, the experimental results show that incremental learning of a single class of gestures can improve the recognition rate of multi-class gestures using our method.
AB - This paper presents an incremental learning method for hand gesture recognition that learns the individual movements in each gesture of a user. To recognize the movement, we use a subunit-based dynamic time warping method, which treats a hand movement as a sequence of ubmovements. In our method, each hand movement is decomposed into submovements and the arrangement of submovements is reflected in the training sample database. Experimental results from the lassification of ten gestures demonstrate that our method can improve the recognition rate compared with a method without incremental learning. In addition, the experimental results show that incremental learning of a single class of gestures can improve the recognition rate of multi-class gestures using our method.
UR - http://www.scopus.com/inward/record.url?scp=84908672717&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908672717&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-11755-3_7
DO - 10.1007/978-3-319-11755-3_7
M3 - Conference contribution
AN - SCOPUS:84908672717
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 58
EP - 65
BT - Image Analysis and Recognition - 11th International Conference, ICIAR 2014, Proceedings
A2 - Kamel, Mohamed S.
A2 - Campilho, Aurélio
A2 - Campilho, Aurélio
PB - Springer Verlag
T2 - 11th International Conference on Image Analysis and Recognition, ICIAR 2014
Y2 - 22 October 2014 through 24 October 2014
ER -