Magic wand: a hand-drawn gesture input device in 3-D space with inertial sensors

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...

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Bibliographic Details
Main Authors: Sung-Jung Cho, Jong Koo Oh, Won-Chul Bang, Wook Chang, Eunseok Choi, Yang Jing, Joonkee Cho, Dong Yoon Kim
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Accelerometer
Accelerometers
Angular velocity
Bayesian methods
Bayesian networks
Gesture input device
Gyroscope
Gyroscopes
Handwriting recognition
Inertial navigation system
Optical surface waves
Space technology
Trajectory estimation
Ultrasonic variables measurement
Writing
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Description
Summary: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.
ISSN:1550-5235
2332-6603
DOI:10.1109/IWFHR.2004.66