TY - GEN
T1 - Gesture recognition using depth-based hand tracking for contactless controller application
AU - Yang, Cheoljong
AU - Jang, Yujeong
AU - Beh, Jounghoon
AU - Han, David
AU - Ko, Hanseok
PY - 2012
Y1 - 2012
N2 - This paper proposes a gesture recognition system capable of providing a contactless controller via depth-based hand tracking. Main proposal is a hand tracking algorithm in depth image by calculating a hand weighted probability. An implementation of the proposed system into a contactless controller application demonstrated its effectiveness.
AB - This paper proposes a gesture recognition system capable of providing a contactless controller via depth-based hand tracking. Main proposal is a hand tracking algorithm in depth image by calculating a hand weighted probability. An implementation of the proposed system into a contactless controller application demonstrated its effectiveness.
UR - http://www.scopus.com/inward/record.url?scp=84863358245&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863358245&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2012.6161876
DO - 10.1109/ICCE.2012.6161876
M3 - Conference contribution
AN - SCOPUS:84863358245
SN - 9781457702310
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 297
EP - 298
BT - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012
T2 - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Y2 - 13 January 2012 through 16 January 2012
ER -