Advancing from offline to online activity recognition with wearable sensors

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

59 Citations (Scopus)

Abstract

Activity recognition with wearable sensors could motivate people to perform a variety of different sports and other physical exercises. We have earlier developed algorithms for offline analysis of activity data collected with wearable sensors. In this paper, we present our current progress in advancing the platform for the existing algorithms to an online version, onto a PDA. Acceleration data are obtained from wireless motion bands which send the 3D raw acceleration signals via a Bluetooth link to the PDA which then performs the data collection, feature extraction and activity classification. As a proof-of-concept, the online activity system was tested with three subjects. All of them performed at least 5 minutes of each of the following activities: lying, sitting, standing, walking, running and cycling with an exercise bike. The average secondby-second classification accuracies for the subjects were 99%, 97%, and 82 %. These results suggest that earlier developed offline analysis methods for the acceleration data obtained from wearable sensors can be successfully implemented in an online activity recognition application.
Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". Vancouver, BC, Canada, 20 - 25 Aug. 2008
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages4451-4454
DOIs
Publication statusPublished - 2008
MoE publication typeA4 Article in a conference publication
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Personalized Healthcare through Technology - Vancouver, Canada
Duration: 20 Aug 200825 Aug 2008

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryCanada
CityVancouver
Period20/08/0825/08/08

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  • Cite this

    Ermes, M., Pärkkä, J., & Cluitmans, L. (2008). Advancing from offline to online activity recognition with wearable sensors. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". Vancouver, BC, Canada, 20 - 25 Aug. 2008 (pp. 4451-4454). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IEMBS.2008.4650199