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Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISBN: 0-7695-2187-8
pp: 106-111
Sung-Jung Cho , Samsung Advanced Institute of Technology
Jong Koo Oh , Samsung Advanced Institute of Technology
Won-Chul Bang , Samsung Advanced Institute of Technology
Wook Chang , Samsung Advanced Institute of Technology
Eunseok Choi , Samsung Advanced Institute of Technology
Yang Jing , Samsung Advanced Institute of Technology
Joonkee Cho , Samsung Advanced Institute of Technology
Dong Yoon Kim , Samsung Advanced Institute of Technology
ABSTRACT
This paper presents a gesture input device, Magic Wand, with which a user can input gestures in 3-D space. Inertial sensors embedded in it generate acceleration and angular velocity signals according to a user's hand movement. A trajectory estimation algorithm is employed to convert them into a trajectory on 2-D plane. The recognition algorithm based on Bayesian networks finds the gesture model with the maximum likelihood from it. The recognition performance of the proposed system is quite promising; the writer-independent recognition rate was 99.2% on average for the database of 15 writers and 13 gesture classes.
INDEX TERMS
Gesture input device, Handwriting recognition, Bayesian networks, Trajectory estimation, Inertial navigation system, Accelerometer, Gyroscope
CITATION
Sung-Jung Cho, Jong Koo Oh, Won-Chul Bang, Wook Chang, Eunseok Choi, Yang Jing, Joonkee Cho, Dong Yoon Kim, "Magic Wand: A Hand-Drawn Gesture Input Device in 3-D Space with Inertial Sensors", IWFHR, 2004, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition 2004, pp. 106-111, doi:10.1109/IWFHR.2004.66
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