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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Magic Wand: A Hand-Drawn Gesture Input Device in 3-D Space with Inertial Sensors
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
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
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, pp.106-111, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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