Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

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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 Alinia^b ; ^{paras2.alinia@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Hassan Ghasemzadeh^b ; ^{hassan@eecs.wsu.edu" class="auth_mail" title="E-mail the corresponding author} ; Giancarlo Fortino^a ; ^{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

class="label">•: Comprehensive review on multi-sensor fusion in BSN-based human activity recognition.
class="label">•: Systematic categorization with identified properties/parameters at each fusion level.
class="label">•: Data fusion beyond activity recognition (emotion recognition and general-health).
class="label">•: Insights on future directions and research challenges on sensor fusion in BSN.

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