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Design of an adaptive accelerometer-based handwriting recognition system based on metacognitive framework

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4 Author(s)
Minsu Jang ; ETRI, Daejeon, South Korea ; Jaehong Kim ; Joochan Sohn ; Hyun-Seung Yang

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.

Published in:

Consumer Electronics (ICCE), 2011 IEEE International Conference on

Date of Conference:

9-12 Jan. 2011