TY - GEN
T1 - A Virtual Mouse interface based on Two-layered Bayesian Network
AU - Roh, Myung Cheol
AU - Huh, Sung Ju
AU - Lee, Seong Whan
PY - 2009
Y1 - 2009
N2 - Recently, many studies on gestural control methods for substituting for keyboard and mouse devices have been conducted because of their conveniences and intuitiveness. This paper presents a Virtual Mouse interface which is a gesture-based mouse interface and Two-layered Bayesian Network (TBN) for robust hand gesture recognition in realtime. The TBN provides robust recognition of hand gestures, as it compensates for an incorrectly recognized hand posture and its location via the preceding and following information. Experiments demonstrate that the proposed model recognizes hand gestures with a recognition rate of 93.78% and 85.15% for a simple and cluttered background, respectively.
AB - Recently, many studies on gestural control methods for substituting for keyboard and mouse devices have been conducted because of their conveniences and intuitiveness. This paper presents a Virtual Mouse interface which is a gesture-based mouse interface and Two-layered Bayesian Network (TBN) for robust hand gesture recognition in realtime. The TBN provides robust recognition of hand gestures, as it compensates for an incorrectly recognized hand posture and its location via the preceding and following information. Experiments demonstrate that the proposed model recognizes hand gestures with a recognition rate of 93.78% and 85.15% for a simple and cluttered background, respectively.
UR - http://www.scopus.com/inward/record.url?scp=77951190773&partnerID=8YFLogxK
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U2 - 10.1109/WACV.2009.5403082
DO - 10.1109/WACV.2009.5403082
M3 - Conference contribution
AN - SCOPUS:77951190773
SN - 9781424454976
T3 - 2009 Workshop on Applications of Computer Vision, WACV 2009
BT - 2009 Workshop on Applications of Computer Vision, WACV 2009
T2 - 2009 Workshop on Applications of Computer Vision, WACV 2009
Y2 - 7 December 2009 through 8 December 2009
ER -