CACE: Exploiting behavioral interactions for improved activity recognition in multi-inhabitant smart homes

CACE: Exploiting behavioral interactions for improved activity recognition in multi-inhabitant smart homes

We propose CACE (Constraints And Correlations mining Engine) which investigates the challenges of improving the recognition of complex daily activities in multi-inhabitant smart homes, by better exploiting the spatiotemporal relationships across the activities of different individuals. We first prop...

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Bibliographic Details
Main Authors: Alam, Mohammad Arif Ul, ROY, Nirmalya, MISRA, Archan, TAYLOR, Joseph
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
multi-modal sensing
multiple inhabitants
scalable activity recognizer
smart communities
Computer Sciences
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3581
https://ink.library.smu.edu.sg/context/sis_research/article/4582/viewcontent/CACE_2016_ICDS_afv.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3581
https://ink.library.smu.edu.sg/context/sis_research/article/4582/viewcontent/CACE_2016_ICDS_afv.pdf

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