Continuous dynamic gesture recognition based on acceleration sensor

CHEN Peng-zhan; LUO Man; LI Jie

doi:10.13873/J.1000-9787(2016)01-0039-04

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Continuous dynamic gesture recognition based on acceleration sensor

更新时间：2025-09-11

- Continuous dynamic gesture recognition based on acceleration sensor
- Vol. 35, Issue 1, Pages: 39-42(2016)
- 作者机构：
  
  华东交通大学电气与电子工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)01-0039-04
  CLC： TP391.41
- Published：2016
- 稿件说明：
移动端阅览
[1]陈鹏展,罗漫,李杰.基于加速度传感器的连续动态手势识别[J].传感器与微系统,2016,35(01):39-42.

CHEN Peng-zhan, LUO Man, LI Jie. Continuous dynamic gesture recognition based on acceleration sensor[J]. 2016, 35(1): 39-42.
[1]陈鹏展,罗漫,李杰.基于加速度传感器的连续动态手势识别[J].传感器与微系统,2016,35(01):39-42. DOI： 10.13873/J.1000-9787(2016)01-0039-04.

CHEN Peng-zhan, LUO Man, LI Jie. Continuous dynamic gesture recognition based on acceleration sensor[J]. 2016, 35(1): 39-42. DOI： 10.13873/J.1000-9787(2016)01-0039-04.

摘要

针对个体手势动作信号的差异性和不稳定性

提出了一种基于加速度传感器的连续动态手势识别方法。通过MEMS加速度传感器采集手势动作信号

并结合手势信号的动作特征

对单个手势的有效数据进行自动定位截取

经预处理和特征提取后

构建隐马尔可夫模型（HMM）以实现对特定手势的实时识别。通过设计实现了一种可穿戴手势信号采集硬件原型系统

对10类手势的1000个手势数据进行识别对比实验

统计结果表明:该方法可以对连续手势进行实时有效的识别。

Abstract

Aiming at differences and instability of individual gestures signal

a continuous dynamic gesture recognition method based on acceleration sensor is proposed. The method utilizes MEMS acceleration sensor to capture gesture acceleration signal

according to the features of gesture signal

valid data of single gesture is automatically located and intercepted

after pre-processing and features extraction hidden Markov models（ HMM）to real-time identify specific gesture. A wearable gesture signal acquisition hardware prototype system is realized through design

1000 data of 10 types of gesture is selected to conducte the identification and comparative experiment

statistical results show that the method can identify continuous gesture in real-time and effectively.

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references

一种基于手机加速度传感器的三维手势身份认证方法 [J]. 王尧,孙子文,周治平. 传感器与微系统 . 2014(08)

一种基于加速度特征提取的手势识别方法 [J]. 陈意,杨平,陈旭光. 传感技术学报 . 2012(08)

基于MEMS加速度传感器的智能输入系统 [J]. 李国峰,王锦,张勇,邵巍,董海坤,梁科. 传感技术学报 . 2009(05)

基于三维加速度传感器的手势识别及交互模型研究 [D]. 孔俊其. 苏州大学 2009

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