Nonparametric Discovery of Contexts and Preferences in Smart Home Environments

Chao Lin Wu, Tsung Chi Chiang, Li Chen Fu, Yi Chong Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the popularity of Internet of Things, lots of resource constrained devices equipped with sensors and actuators are pervasively deployed to compose a smart environment, and Big Data are obtainable for a system to do further analytics thus to achieve human-centric purposes. One such human-centric system is a smart home which analyze Big Data to recognize contexts and their corresponding preferences for service configuration thus to provide context-Aware services. However, since these Big Data are generated in real-Time with huge amount, analytics based on conventional supervised way is not desirable due to the requirement of human efforts. In addition, there are usually multiple inhabitants with multiple combination of contexts in a home environment, and it is difficult to fully collect all these possible context combination as well as their corresponding preferences in advance. Therefore, this paper proposes an unsupervised nonparametric analytics method with a framework for human-centric smart homes to automatically discover contexts and their corresponding service configurations, and the models resulting from the proposed analytics can also be used to determine the preference for a context combination unseen before.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2817-2822
Number of pages6
ISBN (Electronic)9781479986965
DOIs
Publication statusPublished - 2016 Jan 12
Externally publishedYes
EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
Duration: 2015 Oct 92015 Oct 12

Publication series

NameProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

Other

OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
CountryHong Kong
CityKowloon Tong
Period15/10/915/10/12

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Keywords

  • Activity Recognition
  • Ambient Intelligence
  • Knowledge Acquisition
  • Machine Learning
  • Non-parametric Learning Model
  • Smart Environment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Information Systems and Management
  • Control and Systems Engineering

Cite this

Wu, C. L., Chiang, T. C., Fu, L. C., & Zeng, Y. C. (2016). Nonparametric Discovery of Contexts and Preferences in Smart Home Environments. In Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 (pp. 2817-2822). [7379623] (Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2015.491