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- W2896905103 abstract "In this paper, we investigate the problem of recognizing multiuser activities using wearable devices in a home environment. Our research objective is to provide situation awareness so that a smart home can respond to the needs of its residents based on the accurate detection of their activities. In this research, we compare applying artificial neural network, decision tree and simple logistic regression for model construction and activity detection. Moreover, we also evaluate different architectural alternatives of our smart home system in order to discover the best system configuration. Our unique contribution lies on the low cost of the proposed system design." @default.
- W2896905103 created "2018-10-26" @default.
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- W2896905103 date "2018-01-01" @default.
- W2896905103 modified "2023-10-06" @default.
- W2896905103 title "Multiple User Activities Recognition in Smart Home" @default.
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- W2896905103 doi "https://doi.org/10.1007/978-3-030-00410-1_24" @default.
- W2896905103 hasPublicationYear "2018" @default.
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