Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
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- 作者：Raffaele Gravina ; a ; rgravina@dimes.unical.it" class="auth_mail" title="E-mail the corresponding author ; rgravina@deis.unical.it" class="auth_mail" title="E-mail the corresponding author ; Parastoo Aliniab ; paras2.alinia@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Hassan Ghasemzadehb ; hassan@eecs.wsu.edu" class="auth_mail" title="E-mail the corresponding author ; Giancarlo Fortinoa ; g.fortino@unical.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multi-sensor data fusion ; Human activity recognition ; Data-level fusion ; Feature-level fusion ; Decision-level fusion
- 刊名：Information Fusion
- 出版年：2017
- 出版时间：May 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：68-80
- 全文大小：778 K
文摘
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Comprehensive review on multi-sensor fusion in BSN-based human activity recognition.
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Systematic categorization with identified properties/parameters at each fusion level.
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Data fusion beyond activity recognition (emotion recognition and general-health).
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Insights on future directions and research challenges on sensor fusion in BSN.