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- W1844270007 abstract "An important component of ubiquitous computing is the ability to quickly sense the dynamic environment to learn context awareness in real-time. To pervasively capture detailed information of movements, we present a decentralized algorithm for feature extraction within a wireless sensor network. By approaching this problem in a distributed manner, we are able to work within the real constraint of wireless battery power and its effects on processing and network communications. We describe a hardware platform developed for low-power ubiquitous wireless sensing and a distributed feature extraction methodology which is capable of providing more information to the user of events while reducing power consumption. We demonstrate how the collaboration between sensor nodes can provide a means of organizing large networks into information-based clusters." @default.
- W1844270007 created "2016-06-24" @default.
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- W1844270007 date "2004-01-01" @default.
- W1844270007 modified "2023-10-16" @default.
- W1844270007 title "Distributed Feature Extraction for Event Identification" @default.
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- W1844270007 doi "https://doi.org/10.1007/978-3-540-30473-9_14" @default.
- W1844270007 hasPublicationYear "2004" @default.
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