成果信息
Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications
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文献类型:期刊论文
标题:Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications
作者:Fortino, Giancarlo[1];Ghasemzadeh, Hassan[2];Gravina, Raffaele[1];Liu, Peter X.[3];Poon, Carmen C.Y.[4];Wang, Zhelong[5]
机构:
[1]University of Calabria, Italy
[2]Washington State University, United States
[3]Carleton University, Canada
通讯作者:Fortino, Giancarlo(g.fortino@unical.it)
年:2019
期刊名称:Information Fusion影响因子和分区
来源信息:年:2019  卷:45  页码范围:150-152  
期刊信息:Information Fusion  ISSN:15662535
卷:45
页码范围:150-152
增刊:正刊
收录情况:EI(20180804825549)  
语言:外文
ISSN:15662535
发表时间:2019-01-01
全文链接:DOI百度学术
人气指数:2108
浏览次数:2108
作者发文
[1]CanoeSense: Monitoring Canoe Sprint Motion using Wearable Sensors
[2]Human Motion Phase Segmentation Based on Three New Features
[3]Applying Online Feature Selection for Fall Detection
[4]SwimSense: Monitoring Swimming Motion Using Body Sensor Networks
[5]Synchrony Expression Analysis of Human-Human Interaction Using Wearable Sensors
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