Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping

John D. Hutchinson; Diana J. Schwerha

doi:10.1109/SIEDS61124.2024.10534746

Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2024 Systems and Information Engineering Design Symposium, SIEDS 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	124-129
Number of pages	6
ISBN (Electronic)	9798350385144
DOIs	https://doi.org/10.1109/SIEDS61124.2024.10534746
State	Published - 2024
Event	2024 Systems and Information Engineering Design Symposium, SIEDS 2024 - Charlottesville, United States Duration: May 3 2024 → …

Publication series

Name	2024 Systems and Information Engineering Design Symposium, SIEDS 2024

Conference

Conference	2024 Systems and Information Engineering Design Symposium, SIEDS 2024
Country/Territory	United States
City	Charlottesville
Period	5/3/24 → …

ASJC Scopus Subject Areas

Hardware and Architecture
Information Systems
Information Systems and Management
Finance
Control and Systems Engineering
Safety, Risk, Reliability and Quality
Control and Optimization
Modeling and Simulation

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10.1109/SIEDS61124.2024.10534746

Cite this

Hutchinson, J. D., & Schwerha, D. J. (2024). Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping. In 2024 Systems and Information Engineering Design Symposium, SIEDS 2024 (pp. 124-129). (2024 Systems and Information Engineering Design Symposium, SIEDS 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIEDS61124.2024.10534746

Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping. / Hutchinson, John D.; Schwerha, Diana J.
2024 Systems and Information Engineering Design Symposium, SIEDS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 124-129 (2024 Systems and Information Engineering Design Symposium, SIEDS 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hutchinson, JD & Schwerha, DJ 2024, Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping. in 2024 Systems and Information Engineering Design Symposium, SIEDS 2024. 2024 Systems and Information Engineering Design Symposium, SIEDS 2024, Institute of Electrical and Electronics Engineers Inc., pp. 124-129, 2024 Systems and Information Engineering Design Symposium, SIEDS 2024, Charlottesville, United States, 5/3/24. https://doi.org/10.1109/SIEDS61124.2024.10534746

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title = "Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping",

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Machine Learning Analysis of Horse-Rider Dyad Performance in Show Jumping

Publication series

Conference

ASJC Scopus Subject Areas

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