计算机与数字工程2012，Vol.40Issue(10)：133-136,4.
基于三维加速度的连续手势识别
Continuous Gesture Recognition Based on 3D Accelerometers
周谊成 1尤树华 1王辉1
作者信息
- 1. 苏州大学计算机科学与技术学院 苏州 215006
- 折叠
摘要
Abstract
Gesture recognition based on image processing method depends highly on the environment background,and produces inconsistent results. A new gesture recognition method is designed based on 3D accelerometers installed on smart phones, supporting gesture based interaction for mobile environments. The acceleration signal is captured, and filter off the noises by means of low pass filtering,gravity cut, and feature extraction. Combined with the Hidden Markov Model and Gaussian Mixture Model, continuous gestures recognition of smart phones is implemented to drive the corresponding functions predefined on applications level. The Experiment results demonstrate that the gestures recognition has higher rate of accuracy.关键词
手势识别/三维加速度传感器/智能手机/隐马尔可夫模型/混合高斯模型Key words
gestures recognition/3D acceleration sensor/smart phones/Hidden Markov model/Gaussian Mixture model分类
信息技术与安全科学引用本文复制引用
周谊成,尤树华,王辉..基于三维加速度的连续手势识别[J].计算机与数字工程,2012,40(10):133-136,4.
