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E-archery: prototype wearable for analyzing archery release

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Clint ZeaglerAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 908 - 913

https://doi.org/10.1145/2968219.2968577

Published: 12 September 2016 Publication History

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Abstract

This paper describes a wearable device prototype that utilizes an accelerometer to track hand motion in order to capture an archer's "release" and uses this information to help archers in training sessions where the coach is not present. Release is a critical component of an archer's form and is categorized into either good, bad, or pluck release. This paper aims to provide a data driven approach to train archers, a process that is currently visually detected and manually tracked. 50 samples of each of the three types of release were used to train and validate an classifier that achieved classification recall greater than 90% for all three types.

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Kranzinger CBernhart SKremser WVenek VRieser HMayr SKranzinger S(2023)Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping ReviewApplied Sciences10.3390/app1315868413:15(8684)Online publication date: 27-Jul-2023
https://doi.org/10.3390/app13158684
Ogasawara TFukamachi HAoyagi Kkumano STogo HOka KYamaguchi M(2023)Automatic shooting detection in archery from acceleration data for score predictionSports Engineering10.1007/s12283-023-00402-y26:1Online publication date: 28-Jan-2023
https://doi.org/10.1007/s12283-023-00402-y
Ogasawara TFukamachi HAoyagi KKumano STogo HOka K(2022)Real-time Auditory Feedback System for Bow-tilt Correction while Aiming in Archery2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE)10.1109/BIBE55377.2022.00019(51-54)Online publication date: Nov-2022
https://doi.org/10.1109/BIBE55377.2022.00019
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Index Terms

E-archery: prototype wearable for analyzing archery release
1. Human-centered computing

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Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

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: 12 September 2016

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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

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Kranzinger CBernhart SKremser WVenek VRieser HMayr SKranzinger S(2023)Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping ReviewApplied Sciences10.3390/app1315868413:15(8684)Online publication date: 27-Jul-2023
https://doi.org/10.3390/app13158684
Ogasawara TFukamachi HAoyagi Kkumano STogo HOka KYamaguchi M(2023)Automatic shooting detection in archery from acceleration data for score predictionSports Engineering10.1007/s12283-023-00402-y26:1Online publication date: 28-Jan-2023
https://doi.org/10.1007/s12283-023-00402-y
Ogasawara TFukamachi HAoyagi KKumano STogo HOka K(2022)Real-time Auditory Feedback System for Bow-tilt Correction while Aiming in Archery2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE)10.1109/BIBE55377.2022.00019(51-54)Online publication date: Nov-2022
https://doi.org/10.1109/BIBE55377.2022.00019
Turmo Vidal LZhu HWaern AMárquez Segura EKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)The Design Space of Wearables for Sports and Fitness PracticesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445700(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445700
Ogasawara TFukamachi HAoyagi KKumano STogo HOka K(2021)Archery Skill Assessment Using an Acceleration SensorIEEE Transactions on Human-Machine Systems10.1109/THMS.2020.304643551:3(221-228)Online publication date: Jun-2021
https://doi.org/10.1109/THMS.2020.3046435
Rana MMittal V(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
https://doi.org/10.1109/JSEN.2020.3019016
Yasumoto MShida KTeraoka T(2020)Possibility of Using High-Quality Bow Interface in VAIR FieldDesign, User Experience, and Usability. Design for Contemporary Interactive Environments10.1007/978-3-030-49760-6_43(605-619)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-49760-6_43
Zeagler CLee STakayama LTruong KHealey JPloetz T(2017)Where to wear itProceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123021.3123042(150-157)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3123021.3123042
Limbu BFominykh MKlemke RSpecht MWild F(2017)Supporting Training of Expertise with Wearable Technologies: The WEKIT Reference FrameworkMobile and Ubiquitous Learning10.1007/978-981-10-6144-8_10(157-175)Online publication date: 18-Nov-2017
https://doi.org/10.1007/978-981-10-6144-8_10

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Recommendations

Demonstrating an Auditory-Cued Archery Social Exertion Game for the Blind and Sighted to Play Together

Personal Basketball Coach: Tactic Training through Wireless Virtual Reality

Training assistant: strengthen your tactical nous with proficient virtual basketball players

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