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

Kai Kunze, Paul Lukowicz

研究成果: Conference contribution

35 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - Eleventh IEEE International Symposium on Wearable Computers, ISWC 2007
ページ115-116
ページ数2
DOI
出版ステータスPublished - 2007 12月 1
外部発表はい
イベント11th IEEE International Symposium on Wearable Computers, ISWC 2007 - Boston, MA, United States
継続期間: 2007 10月 112007 10月 13

出版物シリーズ

名前Proceedings - International Symposium on Wearable Computers, ISWC
ISSN(印刷版)1550-4816

Other

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

ASJC Scopus subject areas

  • 工学(全般)

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