Article

Context awareness via a single device-attached accelerometer during mobile computing

Authors:

Ji Soo Yi,

Young Sang Choi,

Julie A. Jacko,

Andrew SearsAuthors Info & Claims

MobileHCI '05: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services

Pages 303 - 306

https://doi.org/10.1145/1085777.1085839

Published: 19 September 2005 Publication History

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Abstract

Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-operable. In efforts to obtain behavioral patterns, many studies have reported the use of multiple accelerometers attached to the human body. However, this is difficult to implement in real-life situations and may not fully address the context of user interaction. In contrast, the present study employed a single tri-axial accelerometer attached to a handheld computing device instead of to a user. The objective was to determine what contextual information could be obtained from this more feasible, albeit limited, source of acceleration data. Data analyses confirmed that changes in both mobility and lighting conditions induced statistically significant differences in the output of the accelerometer.

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Cited By

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He Z(2020)Personalised gesture recognition based on tri-axis accelerometer using Gabor filtersInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/ijahuc.2020.10782034:2(92-101)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1504/ijahuc.2020.107820
Pranata SMantoro TAyu MPrabuwon ADewi D(2020)Recognizing User Activity Using a Smartphone's Accelerometer and Deep Neural Network Classifier2020 6th International Conference on Computing Engineering and Design (ICCED)10.1109/ICCED51276.2020.9415778(1-5)Online publication date: 15-Oct-2020
https://doi.org/10.1109/ICCED51276.2020.9415778
Park KLee YBaek S(2017)Energy-Efficient Hosting Rich Content from Mobile Platforms with Relative Proximity SensingSensors10.3390/s1708182817:8(1828)Online publication date: 8-Aug-2017
https://doi.org/10.3390/s17081828
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Index Terms

Context awareness via a single device-attached accelerometer during mobile computing
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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Published In

MobileHCI '05: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services

September 2005

400 pages

ISBN:1595930892

DOI:10.1145/1085777

General Chair:
Manfred Tscheligi
University of Salzburg, Austria
,
Program Chairs:
Regina Bernhaupt
University of Salzburg, Austria
,
Kristijan Mihalic
University of Salzburg, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 19 September 2005

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MobileHCI05

MobileHCI05: 7th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 19 - 22, 2005

Salzburg, Austria

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Overall Acceptance Rate 202 of 906 submissions, 22%

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He Z(2020)Personalised gesture recognition based on tri-axis accelerometer using Gabor filtersInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/ijahuc.2020.10782034:2(92-101)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1504/ijahuc.2020.107820
Pranata SMantoro TAyu MPrabuwon ADewi D(2020)Recognizing User Activity Using a Smartphone's Accelerometer and Deep Neural Network Classifier2020 6th International Conference on Computing Engineering and Design (ICCED)10.1109/ICCED51276.2020.9415778(1-5)Online publication date: 15-Oct-2020
https://doi.org/10.1109/ICCED51276.2020.9415778
Park KLee YBaek S(2017)Energy-Efficient Hosting Rich Content from Mobile Platforms with Relative Proximity SensingSensors10.3390/s1708182817:8(1828)Online publication date: 8-Aug-2017
https://doi.org/10.3390/s17081828
Johnston APickrell MDuh HLueg CBillinghust MHuang W(2016)Designing for technicians working in the fieldProceedings of the 28th Australian Conference on Computer-Human Interaction10.1145/3010915.3011003(494-498)Online publication date: 29-Nov-2016
https://dl.acm.org/doi/10.1145/3010915.3011003
Saeedi SEl-Sheimy N(2015)Activity Recognition Using Fusion of Low-Cost Sensors on a Smartphone for Mobile Navigation ApplicationMicromachines10.3390/mi60811006:8(1100-1134)Online publication date: 14-Aug-2015
https://doi.org/10.3390/mi6081100
Tsiaousis AGiaglis G(2014)Mobile websitesInternational Journal of Mobile Communications10.1504/IJMC.2014.05924112:1(29-55)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1504/IJMC.2014.059241
Hoseini-Tabatabaei SGluhak ATafazolli R(2013)A survey on smartphone-based systems for opportunistic user context recognitionACM Computing Surveys10.1145/2480741.248074445:3(1-51)Online publication date: 3-Jul-2013
https://dl.acm.org/doi/10.1145/2480741.2480744
Crossan AMurray-Smith RBrewster SMusizza B(2011)Instrumented Usability Analysis for Mobile DevicesHuman-Computer Interaction and Innovation in Handheld, Mobile and Wearable Technologies10.4018/978-1-60960-499-8.ch001(1-19)Online publication date: 2011
https://doi.org/10.4018/978-1-60960-499-8.ch001
Bernardini C(2010)Recognition of actions that imply movement by means of a mobile device with a single built-in accelerometerProceedings of the 12th Ibero-American conference on Advances in artificial intelligence10.5555/1948131.1948195(503-511)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.5555/1948131.1948195
Jonghun Baek Byoung-Ju Yun (2010)Posture Monitoring System for Context Awareness in Mobile ComputingIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2009.202210259:6(1589-1599)Online publication date: Jun-2010
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Gait determination and activity measurement in horses using an accelerometer

Estimation of spatial-temporal gait parameters in level walking based on a single accelerometer

Analysis of compressive load on intervertebral joint in standing and sitting postures

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