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Out of the lab and into the woods: kinematic analysis in running using wearable sensors

Published: 17 September 2011 Publication History

Abstract

Injuries in running are often provoked by fatigue or improper technique, which are both reflected in the runner's kinematics. State of the art research on kinematics in sports is using optical motion capture systems that are inaccessible to most athletes. This paper demonstrates the potential of wearable sensors for runners' kinematics analysis. We present a user study including 21 subjects of different running experience that performed an exhausting run on a conventional outside track wearing ETHOS units. For performance level assessment, training assistance, and fatigue monitoring we extracted the foot contact duration, the foot strike type, and the heel lift as kinematic parameters. A questionnaire revealed that subjects perceived the sensors as comfortable to wear and would use them on a regular basis. We concluded that wearable sensors provide a valuable tool for runners, from beginners to experts, for running technique assessment.

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References

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Cited By

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  • (2024)Training, children, and parentsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103184183:COnline publication date: 14-Mar-2024
  • (2024)Measuring Running Performance Through Technology: A Brief ReviewProceedings of the 2nd Human Engineering Symposium10.1007/978-981-99-6890-9_21(263-272)Online publication date: 11-Mar-2024
  • (2023)Fingerhints: Understanding Users’ Perceptions of and Preferences for On-Finger Kinesthetic NotificationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581022(1-17)Online publication date: 19-Apr-2023
  • Show More Cited By

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    cover image ACM Conferences
    UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
    September 2011
    668 pages
    ISBN:9781450306300
    DOI:10.1145/2030112
    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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    Publication History

    Published: 17 September 2011

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    Author Tags

    1. performance evaluation
    2. sports
    3. wearable system

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    Cited By

    View all
    • (2024)Training, children, and parentsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103184183:COnline publication date: 14-Mar-2024
    • (2024)Measuring Running Performance Through Technology: A Brief ReviewProceedings of the 2nd Human Engineering Symposium10.1007/978-981-99-6890-9_21(263-272)Online publication date: 11-Mar-2024
    • (2023)Fingerhints: Understanding Users’ Perceptions of and Preferences for On-Finger Kinesthetic NotificationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581022(1-17)Online publication date: 19-Apr-2023
    • (2022)Estimation of Fine-Grained Foot Strike Patterns with Wearable Smartwatch DevicesInternational Journal of Environmental Research and Public Health10.3390/ijerph1903127919:3(1279)Online publication date: 24-Jan-2022
    • (2022)Examination of a foot mounted IMU-based methodology for a running gait assessmentFrontiers in Sports and Active Living10.3389/fspor.2022.9568894Online publication date: 6-Sep-2022
    • (2021)Making Sense of Complex Running Metrics Using a Modified Running ShoeProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445506(1-11)Online publication date: 6-May-2021
    • (2021)Quantitative Evaluation of Gymnastics Based on Multiple MEMS SensorsIEEE Sensors Journal10.1109/JSEN.2021.311475821:21(24531-24539)Online publication date: 1-Nov-2021
    • (2021)Wearable Sensors for Real-Time Kinematics Analysis in Sports: A ReviewIEEE Sensors Journal10.1109/JSEN.2020.301901621:2(1187-1207)Online publication date: 15-Jan-2021
    • (2020)Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?Sensors10.3390/s2019570520:19(5705)Online publication date: 7-Oct-2020
    • (2020)The Gaitprint: Identifying Individuals by Their Running StyleSensors10.3390/s2014381020:14(3810)Online publication date: 8-Jul-2020
    • Show More Cited By

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