User daily activity pattern learning: A multi-memory modeling approach

In this paper, we propose a multi-memory model, ADLART model, to discover the daily activity pattern of a sensor monitored user from his/her activities of daily living (ADL). The proposed model mimics the human multiple memory system which comprises a working memory, an episodic memory, and a semant...

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Bibliographic Details
Main Authors: GAO, Shan, TAN, Ah-hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/sis_research/6562
https://ink.library.smu.edu.sg/context/sis_research/article/7565/viewcontent/User_Daily_Activity_Pattern_Learning___IJCNN_2014.pdf
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Institution: Singapore Management University
Language: English

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