TY - GEN
T1 - Dynamic vision sensor camera based bare hand gesture recognition
AU - Ahn, Eun Yeong
AU - Lee, Jun Haeng
AU - Mullen, Tracy
AU - Yen, John
PY - 2011
Y1 - 2011
N2 - This paper proposes a method to recognize bare hand gestures using a dynamic vision sensor (DVS) camera. Different from conventional cameras, DVS cameras only respond to pixels with temporal luminance differences, which can greatly reduce the computational cost of comparing consecutive frames to track moving objects. Due to differences in available information, conventional vision techniques for gesture recognition may not be directly applicable in DVS based applications. This paper attempts to classify three different hand gestures made by a player during rock-paper-scissors game. We propose novel methods to detect the point where the player delivers a throw, to extract hand regions, and to extract useful features for machine learning based classification. Preliminary results show that our method produces enhanced accuracy of hand gesture recognition.
AB - This paper proposes a method to recognize bare hand gestures using a dynamic vision sensor (DVS) camera. Different from conventional cameras, DVS cameras only respond to pixels with temporal luminance differences, which can greatly reduce the computational cost of comparing consecutive frames to track moving objects. Due to differences in available information, conventional vision techniques for gesture recognition may not be directly applicable in DVS based applications. This paper attempts to classify three different hand gestures made by a player during rock-paper-scissors game. We propose novel methods to detect the point where the player delivers a throw, to extract hand regions, and to extract useful features for machine learning based classification. Preliminary results show that our method produces enhanced accuracy of hand gesture recognition.
UR - http://www.scopus.com/inward/record.url?scp=79961133533&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79961133533&partnerID=8YFLogxK
U2 - 10.1109/CIMSIVP.2011.5949251
DO - 10.1109/CIMSIVP.2011.5949251
M3 - Conference contribution
AN - SCOPUS:79961133533
SN - 9781424499151
T3 - IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIMSIVP 2011: 2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing
SP - 52
EP - 59
BT - IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIMSIVP 2011
T2 - Symposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2011
Y2 - 11 April 2011 through 15 April 2011
ER -