Title :
Design of an adaptive accelerometer-based handwriting recognition system based on metacognitive framework
Author :
Jang, Minsu ; Kim, Jaehong ; Sohn, Joochan ; Yang, Hyun-Seung
Author_Institution :
ETRI, Daejeon, South Korea
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.
Keywords :
gesture recognition; handwriting recognition; handwritten character recognition; pattern recognition; English alphabet; adaptive accelerometer-based gesture recognition; adaptive accelerometer-based handwriting recognition system; commercial product; metacognitive framework; motion detection; software system; template matching-based motion pattern recognition; template set optimization; Acceleration; Delay; Gesture recognition; Motion detection; Optimization; Trajectory;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722524
