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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Embedded Activity Monitoring Methods
verfasst von : Niket Shah, Maulik Kapuria, Kimberly Newman
Erschienen in: Activity Recognition in Pervasive Intelligent Environments
Verlag: Atlantis Press
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As the average age of the population increases worldwide, automated tools for remote monitoring of activity are increasingly necessary and valuable. This chapter highlights embedded systems for activity recognition that provide privacy, do not require major infrastructure,and are easy to configure. The strengths and weaknesses of popular sensing modes that include RFID, motion, pressure, acceleration, and machine vision are discussed. A new activity detection system is also described for high privacy area like the bathroomand bedroom environment.