计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

基于核函数SVM的穿戴式姿态识别系统

胡一帆1,林 欣1,丁永生1,2,吴怡之1   

  1. (1. 东华大学信息科学与技术学院,上海 201620;2. 数字化纺织服装技术教育部工程研究中心,上海 201620)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-05-20 发布日期:2010-05-20

Wearable Posture Recognition System Based on Kernel Function SVM

HU Yi-fan1, LIN Xin1, DING Yong-sheng1,2, WU Yi-zhi1   

  1. (1. College of Information Sciences and Technology, Donghua University, Shanghai 201620;2. Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Shanghai 201620)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-05-20 Published:2010-05-20

摘要: 设计一种基于核函数支持向量机(SVM)的穿戴式姿态识别系统。采集嵌入用户服装中的倾角传感器的数据,提取相应的特征参数,利用2种分类算法对样本进行姿态分类评估。测试实验结果表明,核函数SVM算法对日常姿态的分类效果较好,姿态识别系统对用户日常的多种姿态识别率较高。

关键词: 核函数, 支持向量机, 穿戴式, 姿态识别, 远程监护

Abstract: This paper designs a wearable posture recognition system based on kernel-based Support Vector Machines(SVM). With the characteristic parameters extraction of tilt sensors embedded in garments, it completes posture classification using two kinds of classification algorithms. Experiment which is subjected to five testers shows that using kernel-based SVM can give the best performance, and the designed system can make a good recognition rate when classifying everyday posture, which has a considerable value in the remote monitoring field.

Key words: kernel function, Support Vector Machines(SVM), wearable, posture recognition, remote monitoring

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