Using acceleration signatures from everyday activities for on-body device location

Kai Kunze, Paul Lukowicz

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

32 Citations (Scopus)

Abstract

This paper is part of an effort to facilitate wearable activity recognition using dynamically changing sets of sensors integrated in everyday appliances such as phones, PDAs, watches, headsets etc. A key issue that such systems have to address is the position of the devices on the body. In general each devices can be in a number of different locations (e.g. headset on the head or in on of many pockets). At the same time most activity recognition algorithms require fixed, known sensor positions. Previously we have shown on a small data set how to recognize a set of on-body locations during a walking motion using an accelerometer signal. We now extend the method to work during arbitrary activity. We verify it on a much larger data set with a total 9 hours from real life activity by three divers users ranging from a 70 year old housewife to a 28 year male student.

Original languageEnglish
Title of host publicationProceedings - Eleventh IEEE International Symposium on Wearable Computers, ISWC 2007
Pages115-116
Number of pages2
DOIs
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event11th IEEE International Symposium on Wearable Computers, ISWC 2007 - Boston, MA, United States
Duration: 2007 Oct 112007 Oct 13

Publication series

NameProceedings - International Symposium on Wearable Computers, ISWC
ISSN (Print)1550-4816

Other

Other11th IEEE International Symposium on Wearable Computers, ISWC 2007
CountryUnited States
CityBoston, MA
Period07/10/1107/10/13

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Kunze, K., & Lukowicz, P. (2007). Using acceleration signatures from everyday activities for on-body device location. In Proceedings - Eleventh IEEE International Symposium on Wearable Computers, ISWC 2007 (pp. 115-116). [4373794] (Proceedings - International Symposium on Wearable Computers, ISWC). https://doi.org/10.1109/ISWC.2007.4373794