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Conference Paper
Handwriting Gesture Recognition using Accelerometers: An Adaptive Approach
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- Authors
- Min Su Jang, Jae Hong Kim, Joo Chan Sohn, Jae Yeon Lee, Hyun Seung Yang
- Issue Date
- 2009-07
- Citation
- International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2009, pp.942-945
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we present an accelerometer-based gesture recognition system, and the results from experiments of applying it for classifying 26 handwritten English alphabets. Large number of complex patterns incurs a problem of high userdependency. To tackle the problem, we made our system as an adaptive learner so that user-specific recognizers can easily be constructed by incremental learning. Our preliminary results on handwriting gestures showed that our adaptive approach incrementally improves the performance of gesture recognizers and exhibited more stable performance than non-adaptive approach.
- KSP Keywords
- Adaptive approach, Complex patterns, Gesture recognition, Handwriting Gesture, Incremental learning, Non-adaptive, Recognition System, User-specific, preliminary results, stable performance