| 基于三轴加速度传感器的手势识别 |
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| 引用本文： | 刘蓉,刘明.基于三轴加速度传感器的手势识别[J].计算机工程,2011,37(24):141-143. |
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| 作者姓名： | 刘蓉 刘明 |
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| 作者单位： | 1. 华中师范大学物理科学与技术学院
2. 华中师范大学计算机科学系,武汉,430079 |
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| 基金项目： | 华中师范大学中央高校基本科研业务费基金资助项目，教育部人文社会科学研究计划基金资助项目 |
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| 摘 要： | 针对手势交互中手势信号的相似性和不稳定性，设计实现一种基于三轴加速度传感器的手势识别方案。采用MMA7260加速度传感器采集主手腕的手势动作信号，根据手势加速度信号的特点，进行手势动作数据窗口的自动检测、信号去噪和重采样等预处理，通过提取手势动作的关键特征，构造离散隐马尔可夫模型，实现手势动作识别。实验结果证明该方案的识别精度较高。
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| 关 键 词： | 加速度传感器 手势识别 人机交互 信号处理 离散隐马尔可夫模型 |
| 收稿时间： | 2011-05-06 |
Gesture Recognition Based on Three-axial Accelerometer |
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| LIU Rong,LIU Ming.Gesture Recognition Based on Three-axial Accelerometer[J].Computer Engineering,2011,37(24):141-143. |
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| Authors: | LIU Rong LIU Ming |
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| Affiliation: | b(a.College of Physical Science and Technology;b.Department of Computer Science,Central China Normal University,Wuhan 430079,China) |
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| Abstract: | Aiming at similarity and instability of gesture activity signal in gesture interaction, a gesture recognition scheme based on three-axial accelerometer is presented. It utilizes a MMA7260 accelerometer to capture the acceleration signal of dominant wrist. An activity detection algorithm is used to auto determine the data stream which containing interesting motion according to the features of gesture activity signal. After denoising and resampling the acceleration data streams, gesture features are extracted, and Discrete Hidden Markov Model（DHMM） is built for gesture recognition. Experimental results demonstrate the effectiveness of the scheme. |
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| Keywords: | accelerometer gesture recognition human-computer interaction signal processing Discrete Hidden Markov ModeI（DHMM） |
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