Preliminary Studies and Prototypes for Machine Learning Based Evaluation of Surfers’ Performance on River Waves

Zöllner M, Kniesburges S, Döllinger M, Gemeinhardt J, Krause M (2023)


Publication Language: English

Publication Type: Conference contribution

Publication year: 2023

Journal

Publisher: Springer

Series: Communications in Computer and Information Science

City/Town: Cham

Book Volume: 1958

Pages Range: 117-124

Conference Proceedings Title: HCI International 2023 – Late Breaking Posters. HCII 2023

Event location: Copenhagen DK

ISBN: 9783031492143

DOI: 10.1007/978-3-031-49215-0_14

Abstract

In this paper we are describing our preliminary studies and prototypes for evaluating a surfer’s performance on a stationary wave. We are briefly describing the sport’s environment and development and the current state-of-the-art of machine learning based single camera tracking approaches we have evaluated and applied. The main part of the paper deals with the first implementation, the tracking and the results of the evaluation of the movements of two surfers. We are closing with our lessons learned and our next steps.

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How to cite

APA:

Zöllner, M., Kniesburges, S., Döllinger, M., Gemeinhardt, J., & Krause, M. (2023). Preliminary Studies and Prototypes for Machine Learning Based Evaluation of Surfers’ Performance on River Waves. In Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy (Eds.), HCI International 2023 – Late Breaking Posters. HCII 2023 (pp. 117-124). Copenhagen, DK: Cham: Springer.

MLA:

Zöllner, Michael, et al. "Preliminary Studies and Prototypes for Machine Learning Based Evaluation of Surfers’ Performance on River Waves." Proceedings of the 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen Ed. Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy, Cham: Springer, 2023. 117-124.

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