Active monitoring for lifestyle disease patient using data mining of home sensors

Y.-S. Son, Topi Pulkkinen, J.-H. Park

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

This paper describes user activity recognition for lifestyle disease patients at home: ways to define data mining system for sensing, logging, analyzing, mining, measuring and recognizing user's daily activities. Lifestyle disease patients spend most of the time at home. There are lots of sensing data that can be based on home devices with home networking (sensors, gadgets, appliances, cameras, smart phones and some software applications running on computers). Main problem is interoperability, there is no standard framework for logging, analyzing and utilizing the available data sources. In this paper, we will introduce our layered architecture to do data mining for user's activity recognition. Understand user's life pattern can help medical services to cure and prevent diseases from developing.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Consumer Electronics, ICCE 2013
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages276-277
ISBN (Electronic)978-1-4673-1363-6
ISBN (Print)978-1-4673-1361-2
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, United States
Duration: 11 Jan 201314 Jan 2013

Conference

ConferenceIEEE International Conference on Consumer Electronics, ICCE 2013
Abbreviated titleICCE 2013
CountryUnited States
CityLas Vegas
Period11/01/1314/01/13

Fingerprint

Data mining
Monitoring
Sensors
Application programs
Interoperability
Cameras

Cite this

Son, Y-S., Pulkkinen, T., & Park, J-H. (2013). Active monitoring for lifestyle disease patient using data mining of home sensors. In Proceedings of the IEEE International Conference on Consumer Electronics, ICCE 2013 (pp. 276-277). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICCE.2013.6486893
Son, Y.-S. ; Pulkkinen, Topi ; Park, J.-H. / Active monitoring for lifestyle disease patient using data mining of home sensors. Proceedings of the IEEE International Conference on Consumer Electronics, ICCE 2013. Institute of Electrical and Electronic Engineers IEEE, 2013. pp. 276-277
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Son, Y-S, Pulkkinen, T & Park, J-H 2013, Active monitoring for lifestyle disease patient using data mining of home sensors. in Proceedings of the IEEE International Conference on Consumer Electronics, ICCE 2013. Institute of Electrical and Electronic Engineers IEEE, pp. 276-277, IEEE International Conference on Consumer Electronics, ICCE 2013, Las Vegas, United States, 11/01/13. https://doi.org/10.1109/ICCE.2013.6486893

Active monitoring for lifestyle disease patient using data mining of home sensors. / Son, Y.-S.; Pulkkinen, Topi; Park, J.-H.

Proceedings of the IEEE International Conference on Consumer Electronics, ICCE 2013. Institute of Electrical and Electronic Engineers IEEE, 2013. p. 276-277.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Son Y-S, Pulkkinen T, Park J-H. Active monitoring for lifestyle disease patient using data mining of home sensors. In Proceedings of the IEEE International Conference on Consumer Electronics, ICCE 2013. Institute of Electrical and Electronic Engineers IEEE. 2013. p. 276-277 https://doi.org/10.1109/ICCE.2013.6486893