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Conference Paper
Design of an Adaptive Accelerometer-based Handwriting Recognition System based on Metacognitive Framework
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- Authors
- Min Su Jang, Jae Hong Kim, Joo Chan-Sohn, Hyun-Seung Yang
- Issue Date
- 2011-01
- Citation
- International Conference on Consumer Electronics (ICCE) 2011, pp.175-176
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- We present in this paper a software system that can provide highly adaptive accelerometer-based gesture recognition on commercial products. The algorithm features efficient motion detection, template matching-based motion pattern recognition, and template set optimization techniques. We apply our algorithm for recognizing 26 uppercase English alphabets with promising results. ©2011 IEEE.
- KSP Keywords
- Algorithm features, Commercial products, Gesture recognition, Handwriting Recognition System, Motion Pattern, Motion detection, Optimization techniques(OT), Pattern recognition, Template matching, Template set, software system