Handwritten character recognition using orientation quantization based on 3D accelerometer
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
Gesture-aware remote controls: guidelines and interaction technique
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
3D space handwriting recognition with ligature model
UCS'06 Proceedings of the Third international conference on Ubiquitous Computing Systems
A survey on smartphone-based systems for opportunistic user context recognition
ACM Computing Surveys (CSUR)
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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.