tutorial

Smartphone sensing for distributed swim stroke coaching and research

Author:

Joe MarshallAuthors Info & Claims

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

Pages 1413 - 1416

https://doi.org/10.1145/2494091.2496036

Published: 08 September 2013 Publication History

Get Access

Abstract

Current methods of swim stroke learning rely on a combination of external observation by coaches and repetitive drills performed by swimmers. At elite levels, these may be augmented using complex and expensive augmented pool environments and video analysis, but these are not available to most non-professionals.

In this paper, I argue that with the wide range of sensors and outputs on a current smartphone, and existing sports-targeted waterproofing, commodity mobile hardware may allow even un-coached amateur swimmers to access timely feedback on their stroke and to improve their swimming. An early prototype of a swim-sensing system demonstrates the potential of mobiles to sense aspects of the swimming stroke. By using commodity hardware it is open to many potential learners, who may in turn provide high quality data to feed back into the development of swim coaching techniques by sports researchers and practitioners.

References

[1]

Bächlin, M, Förster, K. & Tröster, G. SwimMaster: A wearable assistant for swimmer, UbiComp '09, 215--224

Digital Library

Google Scholar

[2]

Dadashi, F. Crettenand, F. Millet, G. P. & Aminian, K. Front-Crawl Instantaneous Velocity Estimation Using a Wearable Inertial Measurement Unit, Sensors 12.10 (2012): 12927--12939

Google Scholar

[3]

Dartfish video analysis -- http://www.dartfish.com

Google Scholar

[4]

Gilchrist, J., Sacks, J.J. & Branche, C.M. Self-reported swimming ability in US adults, Public health reports 2000; 115(2--3): 110--111.

Google Scholar

[5]

Haverinen, J., Kemppainen, A., Global indoor self-localization based on the ambient magnetic field, Robotics and Autonomous Systems, 2009, Elsevier

Digital Library

Google Scholar

[6]

Laughlin, T. Total Immersion: The Revolutionary Way to Swim Better, Faster and Easier, Simon & Schuster.

Google Scholar

[7]

Newsome, P & Young, A. Swim Smooth: The Complete Coaching System for Swimmers and Triathletes, John Wiley & Sons.

Google Scholar

[8]

Overboard cases -- http://www.over-board.co.uk/

Google Scholar

[9]

Pedersen,T & Kjendlie, P-L. The effect of the breathing action on velocity in front crawl sprinting, in In: Vilas-Boas, J.P., Alves, F. and Marques, A. (Eds.), Biomechanics and Medicine in Swimming X. Portuguese Journal of Sport Sciences 6(2), Porto, pp. 75--77

Google Scholar

Cited By

View all

Tamer SAtia A(2022)Recognition of Butterfly strokes using different Machine Learning Models2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)10.1109/ICECET55527.2022.9872896(1-6)Online publication date: 20-Jul-2022
https://doi.org/10.1109/ICECET55527.2022.9872896
Ehab MMohamed HAhmed MHammad MElMasry NAtia ATruong KHeylen DCzerwinski MBerthouze NChetouani MNakano M(2020)ISwimCoach: A Smart Coach guiding System for Assisting Swimmers Free Style StrokesCompanion Publication of the 2020 International Conference on Multimodal Interaction10.1145/3395035.3425314(265-269)Online publication date: 25-Oct-2020
https://dl.acm.org/doi/10.1145/3395035.3425314
Yu ZWang ZYu ZWang Z(2020)Individual Behavior RecognitionHuman Behavior Analysis: Sensing and Understanding10.1007/978-981-15-2109-6_5(37-137)Online publication date: 1-Mar-2020
https://doi.org/10.1007/978-981-15-2109-6_5
Show More Cited By

Index Terms

Smartphone sensing for distributed swim stroke coaching and research
1. Human-centered computing

Recommendations

AquaCAVE: Augmented Swimming Environment with Immersive Surround-Screen Virtual Reality
UIST '16 Adjunct: Adjunct Proceedings of the 29th Annual ACM Symposium on User Interface Software and Technology

AquaCAVE is a system for enhancing the swimming experience. Although swimming is considered to be one of the best exercises to maintain our health, swimming in a pool is normally monotonous; thus, maintaining its motivation is sometimes difficult. ...
Research on Underwater Acoustic Detection Based on Submarine Cable Distributed Acoustic Sensing
SPCNC '23: Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications

To investigate the feasibility of marine environmental monitoring using optical fibers embedded within submarine cables, an underwater distributed acoustic sensing (DAS) experiment was conducted in the northern waters off the Zhairuo Mountain in Zhoushan,...
Swimoid: a swim support system using an underwater buddy robot
AH '13: Proceedings of the 4th Augmented Human International Conference

In the field of sports and athletics, it is important for athletes to recognize their own performance by themselves to gain skills effectively. Although swimming is a popular life-long sport all around the world, it is difficult for non-professional ...

Comments

Information & Contributors

Information

Published In

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

September 2013

1608 pages

ISBN:9781450322157

DOI:10.1145/2494091

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

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]

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Tutorial

Conference

UbiComp '13

Sponsor:

SIGMOBILE
University of Florida
SIGCHI

UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

Acceptance Rates

UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

13
Total Citations
View Citations
303
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Tamer SAtia A(2022)Recognition of Butterfly strokes using different Machine Learning Models2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)10.1109/ICECET55527.2022.9872896(1-6)Online publication date: 20-Jul-2022
https://doi.org/10.1109/ICECET55527.2022.9872896
Ehab MMohamed HAhmed MHammad MElMasry NAtia ATruong KHeylen DCzerwinski MBerthouze NChetouani MNakano M(2020)ISwimCoach: A Smart Coach guiding System for Assisting Swimmers Free Style StrokesCompanion Publication of the 2020 International Conference on Multimodal Interaction10.1145/3395035.3425314(265-269)Online publication date: 25-Oct-2020
https://dl.acm.org/doi/10.1145/3395035.3425314
Yu ZWang ZYu ZWang Z(2020)Individual Behavior RecognitionHuman Behavior Analysis: Sensing and Understanding10.1007/978-981-15-2109-6_5(37-137)Online publication date: 1-Mar-2020
https://doi.org/10.1007/978-981-15-2109-6_5
Del Rosario MLovell NRedmond S(2019)Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recognition Rate of Human Postures and ActivitiesSensors10.3390/s1913284519:13(2845)Online publication date: 26-Jun-2019
https://doi.org/10.3390/s19132845
Kiss FWoźniak PScheerer FDominiak JRomanowski ASchmidt ABrewster SFitzpatrick GCox AKostakos V(2019)ClairbuoyanceProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300467(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300467
Ferreira DOkoshi TNishiyama YKoehler CPark JLucero ALukowicz PKrüger ABulling ALim YPatel S(2016)3rd international workshop on ubiquitous mobile instrumentationProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct10.1145/2968219.2978276(608-611)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2968219.2978276
Choi WOh JPark TKang SMoon MLee UHwang IEdge DSong J(2016)Designing Interactive Multiswimmer ExergamesACM Transactions on Sensor Networks10.1145/288839912:3(1-40)Online publication date: 26-Jul-2016
https://dl.acm.org/doi/10.1145/2888399
Xiao DYu ZYi FWang LTan CGuo B(2016)SmartSwimProceedings of the 14th International Conference on Inclusive Smart Cities and Digital Health - Volume 967710.1007/978-3-319-39601-9_20(222-234)Online publication date: 25-May-2016
https://dl.acm.org/doi/10.1007/978-3-319-39601-9_20
Procyk JNeustaeder CSchiphorst TZhang HTang T(2015)Amateur ice hockey coaching and the role of video feedbackProceedings of the 41st Graphics Interface Conference10.5555/2788890.2788922(179-186)Online publication date: 3-Jun-2015
https://dl.acm.org/doi/10.5555/2788890.2788922
Del Rosario MRedmond SLovell N(2015)Tracking the Evolution of Smartphone Sensing for Monitoring Human MovementSensors10.3390/s15081890115:8(18901-18933)Online publication date: 31-Jul-2015
https://doi.org/10.3390/s150818901
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Cited By

Index Terms

Recommendations

AquaCAVE: Augmented Swimming Environment with Immersive Surround-Screen Virtual Reality

Research on Underwater Acoustic Detection Based on Submarine Cable Distributed Acoustic Sensing

Swimoid: a swim support system using an underwater buddy robot