Vertical Jump Test Using an Earable Accelerometer
Pages 324 - 326
Abstract
In recent years, more and more consumer earphones come equipped with inertial measurement units (IMUs). Using such sensors, past research has broadly explored earables for fitness applications, ranging from tracking higher-level workout activities to extracting precise gait-related parameters. Tying in with this research, we initially evaluated how the accelerometer inside earables may be leveraged to conduct vertical jump testing, which is a common standard measure to assess fitness. In a small study, four participants performed seven jump trials each. Using a simple analytical approach, we find that jump height can be calculated at 0.04 m mean absolute error with a median error of 0.02 m.
References
[1]
Jacob S Arlotti, William O Carroll, Youness Afifi, Purva Talegaonkar, Luciano Albuquerque, John E Ball, Harish Chander, Adam Petway, 2022. Benefits of IMU-based Wearables in Sports Medicine: Narrative Review. International Journal of Kinesiology and Sports Science 10, 1 (2022), 36–43.
[2]
Carlos Balsalobre-Fernández, Carlos M Tejero-González, Juan del Campo-Vecino, and Nicolás Bavaresco. 2014. The concurrent validity and reliability of a low-cost, high-speed camera-based method for measuring the flight time of vertical jumps. The Journal of Strength & Conditioning Research 28, 2 (2014), 528–533.
[3]
Delaram Jarchi, Charence Wong, Richard Mark Kwasnicki, Ben Heller, Garry A Tew, and Guang-Zhong Yang. 2014. Gait parameter estimation from a miniaturized ear-worn sensor using singular spectrum analysis and longest common subsequence. IEEE Transactions on Biomedical Engineering 61, 4 (2014), 1261–1273.
[4]
Nicholas P Linthorne. 2001. Analysis of standing vertical jumps using a force platform. American Journal of Physics 69, 11 (2001), 1198–1204.
[5]
Pietro Picerno, Valentina Camomilla, and Laura Capranica. 2011. Countermovement jump performance assessment using a wearable 3D inertial measurement unit. Journal of sports sciences 29, 2 (2011), 139–146.
[6]
Tobias Röddiger, Christopher Clarke, Paula Breitling, Tim Schneegans, Haibin Zhao, Hans Gellersen, and Michael Beigl. 2022. Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 3 (2022), 1–57.
[7]
Pierre Samozino, Jean-Benoît Morin, Frédérique Hintzy, and Alain Belli. 2008. A simple method for measuring force, velocity and power output during squat jump. Journal of biomechanics 41, 14 (2008), 2940–2945.
[8]
David Strömbäck, Sangxia Huang, and Valentin Radu. 2020. Mm-fit: Multimodal deep learning for automatic exercise logging across sensing devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (2020), 1–22.
Index Terms
- Vertical Jump Test Using an Earable Accelerometer
Recommendations
Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena
Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new research exploring what can be detected on a wearable, small form factor. As a ...
Gait determination and activity measurement in horses using an accelerometer
The observation of locomotor activity and resting behaviour is used to determine time budgets, which may give some indication for the assessment of horses' welfare concerning management and housing. As an alternative to time-consuming direct ...
Estimation of beautiful gait using an accelerometer
UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: AdjunctBeautiful gait provides attractiveness and health, and some people want to know whether their gait is beautiful or not. Though methods of beautiful gait evaluation are proposed in previous works by utilizing 3D motion capture and force plates, they are ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
October 2023
822 pages
ISBN:9798400702006
DOI:10.1145/3594739
Copyright © 2023 ACM.
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 the author(s) 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].
Sponsors
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 October 2023
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- Deutsche Forschungsgemeinschaft
- Carl Zeiss Foundation
Conference
UbiComp/ISWC '23: The 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing
October 8 - 12, 2023
Cancun, Quintana Roo, Mexico
Acceptance Rates
Overall Acceptance Rate 764 of 2,912 submissions, 26%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 72Total Downloads
- Downloads (Last 12 months)56
- Downloads (Last 6 weeks)7
Reflects downloads up to 20 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format