| 基于BP神经网络的手势识别系统 |
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| 引用本文： | 刘赟,孙炎辉,黄向荣,于梁.基于BP神经网络的手势识别系统[J].物联网技术,2013(7):13-15. |
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| 作者姓名： | 刘赟 孙炎辉 黄向荣 于梁 |
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| 作者单位： | [1]大连民族学院信息与通信工程学院,辽宁大连116600 [2]大连民族学院机电信息工程学院,辽宁大连116600 |
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| 基金项目： | 大连民族学院大学生创新创业训练计划资助 |
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| 摘 要： | 给出了采用ADXL335加速度传感器来采集五个手指和手背的加速度三轴信息,并通过ZigBee无线网络传输来提取手势特征量,同时利用BP神经网络算法进行误差分析来实现手势识别的设计方法。最后,通过Matlab验证,结果表明,该系统在测试中识别率较高,系统稳定。
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| 关 键 词： | Zigbee BP神经网络 手势识别 加速度传感器 |
Gesture recognition system based on BP neural network |
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| LIU Yun,SUN Yan-hui,HUANG Xiang-rong,YU Liang.Gesture recognition system based on BP neural network[J].Internet of things technologies,2013(7):13-15. |
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| Authors: | LIU Yun SUN Yan-hui HUANG Xiang-rong YU Liang |
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| Affiliation: | 1.College of Information and Communication Engineering, Dalian Nationalities University, Dalian 116600, China; 2. College of and Information Engineering, Dalian Nationalities University, Dalian 116600, China) |
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| Abstract: | A design of gesture recognition is provided, which use ADXL335 acceleration sensor to collect the triaxial acceleration information of five fingers and the back of the hand, pick up the gesture characteristic quantity through ZigBee wireless network transmission, and use BP neural network algorithm for error analysis. Finally, verification by MATLAB simulation shows that the system has high recognition rate in the test, and it is stable. |
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| Keywords: | ZigBee BP neural network gesture recognition acceleration sensor |
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