| 基于快速傅里叶变换的人体活动识别改进算法研究 |
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| 引用本文： | 郑艺超,陈志豪. 基于快速傅里叶变换的人体活动识别改进算法研究[J]. 物联网技术, 2013, 0(5): 21-22,25 |
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| 作者姓名： | 郑艺超 陈志豪 |
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| 作者单位： | 中南大学信息科学与工程学院,湖南长沙410012 |
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| 摘 要： | 主要探讨了人体活动识别KNN算法的改进方法，该方法通过快速傅里叶变换算法和相关性分析，把采集到的信号时域特性变成频域特性，从而实现了对人体活动模式的识别。
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| 关 键 词： | 人体活动识别 KNN算法 FFT 频谱分析 相关性分析 |
Study on improved algorithms for human activity recognition based on fast Fourier transform |
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| ZHENG Yi-chao,CHEN Zhi-hao. Study on improved algorithms for human activity recognition based on fast Fourier transform[J]. Internet of things technologies, 2013, 0(5): 21-22,25 |
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| Authors: | ZHENG Yi-chao CHEN Zhi-hao |
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| Affiliation: | (School of Information Science and Engineering, Central South University, Changsha 480012, China) |
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| Abstract: | The paper mainly focused on the improvement of KNN algorithm for human activity recognition, which changes the time-domain characteristics of the collected signal into a frequency domain characteristics by FFT （fast Fourier transform） algorithm and correlation analysis to realizes the identification of human activity patterns. |
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| Keywords: | human activity recognition KNN algorithm FFT spectral analysis correlation analysis |
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