article

Activity recognition with hand-worn magnetic sensors

Authors:

Takuya Maekawa,

Yasushi Sakurai,

Takayuki SuyamaAuthors Info & Claims

Personal and Ubiquitous Computing, Volume 17, Issue 6

Pages 1085 - 1094

https://doi.org/10.1007/s00779-012-0556-8

Published: 01 August 2013 Publication History

Abstract

Activity recognition is a key technology for realizing ambient assisted living applications such as care of the elderly and home automation. This paper proposes a new activity recognition method that employs hand-worn magnetic sensors to recognize a broad range of activities ranging from simple activities that involve hand movements such as walking and running to the use of portable electrical devices such as cell phones and cameras. We sense magnetic fields emitted by electrical devices and the earth with hand-worn sensors, and recognize what a user is doing or which electrical device the user is employing. We frequently use a large number of different electrical devices in our daily lives, and so we can estimate high-level daily activities by recognizing their use. Our approach permits us to recognize a range extending from low-level simple activities to high-level activities that relate to the hands without the need to attach any sensors to the electrical devices.

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Cited By

Khowaja SYahya BLee S(2020)CAPHAR: context-aware personalized human activity recognition using associative learning in smart environmentsHuman-centric Computing and Information Sciences10.1186/s13673-020-00240-y10:1Online publication date: 12-Aug-2020
https://dl.acm.org/doi/10.1186/s13673-020-00240-y
Qingxin XWada AKorpela JMaekawa TNamioka Y(2019)Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction InformationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33289313:2(1-23)Online publication date: 21-Jun-2019
https://dl.acm.org/doi/10.1145/3328931
Oh SYun GPark CKim JChoi SBrewster SFitzpatrick GCox AKostakos V(2019)VibEyeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300906(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300906
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Activity recognition with hand-worn magnetic sensors
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Published In

cover image Personal and Ubiquitous Computing

Personal and Ubiquitous Computing Volume 17, Issue 6

August 2013

242 pages

ISSN:1617-4909

Issue’s Table of Contents

Copyright © Copyright © 2013 Springer-Verlag London.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 August 2013

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Cited By

Khowaja SYahya BLee S(2020)CAPHAR: context-aware personalized human activity recognition using associative learning in smart environmentsHuman-centric Computing and Information Sciences10.1186/s13673-020-00240-y10:1Online publication date: 12-Aug-2020
https://dl.acm.org/doi/10.1186/s13673-020-00240-y
Qingxin XWada AKorpela JMaekawa TNamioka Y(2019)Unsupervised Factory Activity Recognition with Wearable Sensors Using Process Instruction InformationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33289313:2(1-23)Online publication date: 21-Jun-2019
https://dl.acm.org/doi/10.1145/3328931
Oh SYun GPark CKim JChoi SBrewster SFitzpatrick GCox AKostakos V(2019)VibEyeProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300906(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300906
Laput GHarrison CBrewster SFitzpatrick GCox AKostakos V(2019)SurfaceSightProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300559(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300559
(2018)Improving smart home security; integrating behaviour prediction into smart homeInternational Journal of Sensor Networks10.5555/3302804.330280828:4(253-269)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.5555/3302804.3302808
Cozza MAngeli ATonolli L(2017)Ubiquitous technologies for older peoplePersonal and Ubiquitous Computing10.1007/s00779-017-1003-721:3(607-619)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s00779-017-1003-7

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