research-article

Smart pose: mobile posture-aware system for lowering physical health risk of smartphone users

Authors:

Hosub Lee,

Young Sang Choi,

Sunjae Lee,

Eunsoo ShimAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 2257 - 2266

https://doi.org/10.1145/2468356.2468747

Published: 27 April 2013 Publication History

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Abstract

With the widespread use of smartphones, users tend to use their smartphones for a long period of time with unhealthy postures, bending forward their upper body including the neck. If users keep such an unhealthy posture for a long time, their neck and back muscles get chronically strained, which might cause diseases such as cervical myalgia. To prevent these diseases, we propose a new methodology to monitor the posture of smartphone users with built-in sensors. The proposed mechanism estimates a value representing user postures like head/neck tilt angle by analyzing sensor data from a front-faced camera, 3-axis accelerometer, and orientation sensor. It then informs the user if the estimated value is maintained within the abnormal range over a pre-defined time.

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Luo HJin TZhang YTian BZhang YWang D(2023)A skin-integrated device for neck posture monitoring and correctionMicrosystems & Nanoengineering10.1038/s41378-023-00613-09:1Online publication date: 28-Nov-2023
https://doi.org/10.1038/s41378-023-00613-0
Camboim Bda Rosa Tavares JTavares MBarbosa J(2023)Posture monitoring in healthcare: a systematic mapping study and taxonomyMedical & Biological Engineering & Computing10.1007/s11517-023-02851-w61:8(1887-1899)Online publication date: 22-Jun-2023
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Index Terms

Smart pose: mobile posture-aware system for lowering physical health risk of smartphone users
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

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

New York, NY, United States

Publication History

Published: 27 April 2013

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Conference

CHI '13

Sponsor:

SIGCHI

CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

Acceptance Rates

CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Citations

Cited By

View all

Luo HJin TZhang YTian BZhang YWang D(2023)A skin-integrated device for neck posture monitoring and correctionMicrosystems & Nanoengineering10.1038/s41378-023-00613-09:1Online publication date: 28-Nov-2023
https://doi.org/10.1038/s41378-023-00613-0
Camboim Bda Rosa Tavares JTavares MBarbosa J(2023)Posture monitoring in healthcare: a systematic mapping study and taxonomyMedical & Biological Engineering & Computing10.1007/s11517-023-02851-w61:8(1887-1899)Online publication date: 22-Jun-2023
https://doi.org/10.1007/s11517-023-02851-w
Li XYin KShen SXia H(2023)Conducting individualised hand therapy evaluation with around-device hand movementsMultimedia Tools and Applications10.1007/s11042-023-16099-x83:5(12687-12704)Online publication date: 30-Jun-2023
https://doi.org/10.1007/s11042-023-16099-x
Intolo PSitthikornpaiboon RChararivivot V(2022)Pain and electromyography reduction cause of sitting upright posture, frequent break, eye rest and self-stretching during smartphone usageWork10.3233/WOR-21082571:3(729-738)Online publication date: 25-Mar-2022
https://doi.org/10.3233/WOR-210825
Bi HLiu J(2022)CSEar: Metalearning for Head Gesture Recognition Using Earphones in Internet of Healthcare ThingsIEEE Internet of Things Journal10.1109/JIOT.2022.31883319:22(23176-23187)Online publication date: 15-Nov-2022
https://doi.org/10.1109/JIOT.2022.3188331
Muench CLink JCarolus A(2022)The Surprise of Underestimation: Analyzing the Effects and Predictors of the Accuracy of Estimated Smartphone UseDesign, Operation and Evaluation of Mobile Communications10.1007/978-3-031-05014-5_14(171-190)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-05014-5_14
Lee YBeck DPark W(2020)Human Factors Evaluation of an Ambient Display for Real-Time Posture Feedback to Sedentary WorkersIEEE Access10.1109/ACCESS.2020.30443168(223405-223417)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3044316
Derakhshanrad NYekaninejad MMehrdad RSaberi H(2020)Neck pain associated with smartphone overuse: cross-sectional report of a cohort study among office workersEuropean Spine Journal10.1007/s00586-020-06640-z30:2(461-467)Online publication date: 27-Oct-2020
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Shin JOnchi EReyes MSong JLee ULee SSaakes DBrewster SFitzpatrick GCox AKostakos V(2019)Slow Robots for Unobtrusive Posture CorrectionProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300843(1-10)Online publication date: 2-May-2019
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Ishac KSuzuki K(2018)LifeChair: A Conductive Fabric Sensor-Based Smart Cushion for Actively Shaping Sitting PostureSensors10.3390/s1807226118:7(2261)Online publication date: 13-Jul-2018
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