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题名: A Novel Feature Extraction Method on Activity Recognition Using Smartphone
作者: Wang, DC; Liu, L; Wang, XL; Lu, YG
收录类别: CPCI-S
出版日期: 2016
会议名称: 17th International Conference on Web-Age Information Management (WAIM)
会议日期: JUN 03-05, 2016
会议地点: Nanchang, PEOPLES R CHINA
英文摘要: In the last few years, research on human activity recognition using the built-in sensors of smartphones instead of the body-worn sensors has received much attention. Accelerometer is the most commonly used sensor of smartphone for the application. An important step in activity recognition is feature extraction from the raw acceleration data. In this work, a novel feature extraction method which considers both the distribution and the rate of change of the raw acceleration data is proposed. The raw time series liner acceleration data was collected by a smartphone application developed by ourselves. The proposed feature extraction method is compared with a previously proposed statistics-based feature extraction method using two evaluation methods: (a) distance matrix before clustering, (b) ARI and FM-index after clustering using MCODE. Both results show that the newly proposed feature extraction method is more effective for daily activity recognition than the previously proposed method.
关键词: Activity recognition ; Feature extraction ; Smartphone ; Unsupervised classification
作者部门: [Wang, Dachuan ; Wang, Xianlong ; Lu, Yonggang] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China ; [Liu, Li] Chongqing Univ, Sch Software Engn, Chongqing 400044, Peoples R China
通讯作者: Lu, YG (reprint author), Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China.
学科分类: Computer Science
会议录: WEB-AGE INFORMATION MANAGEMENT
卷号: 9998
页码: 67-76
出版者: SPRINGER
出版地: CHAM
语种: 英语
DOI: 10.1007/978-3-319-47121-1_6
ISSN号: 0302-9743
WOS记录号: WOS:000389726800006
IR记录号: WOS:000389726800006
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内容类型: 会议论文
URI标识: http://ir.lzu.edu.cn/handle/262010/189714
Appears in Collections:信息科学与工程学院_会议论文

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Recommended Citation:
Wang, DC,Liu, L,Wang, XL,et al. A Novel Feature Extraction Method on Activity Recognition Using Smartphone[C]. 见:17th International Conference on Web-Age Information Management (WAIM). Nanchang, PEOPLES R CHINA. JUN 03-05, 2016.
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