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AI-Powered Analysis of Eye Tracker Data in Basketball Game

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Daniele Lozzi
  • Ilaria Di Pompeo
  • Martina Marcaccio
  • Michela Alemanno
  • Melanie Krüger

Externe Organisationen

  • Universität L’Aquila

Details

OriginalspracheEnglisch
Aufsatznummer3572
FachzeitschriftSensors
Jahrgang25
Ausgabenummer11
PublikationsstatusVeröffentlicht - 5 Juni 2025

Abstract

This paper outlines a new system for processing of eye-tracking data in basketball live games with two pre-trained Artificial Intelligence (AI) models. blueThe system is designed to process and extract features from data of basketball coaches and referees, recorded with the Pupil Labs Neon Eye Tracker, a device that is specifically optimized for video analysis. The research aims to present a tool useful for understanding their visual attention patterns during the game, what they are attending to, for how long, and their physiological responses, blueas is evidenced through pupil size changes. AI models are used to monitor events and actions within the game and correlate these with eye-tracking data to provide understanding into referees’ and coaches’ cognitive processes and decision-making. This research contributes to the knowledge of sport psychology and performance analysis by introducing the potential of Artificial Intelligence (AI)-based eye-tracking analysis in sport with wearable technology and light neural networks that are capable of running in real time.

ASJC Scopus Sachgebiete

Zitieren

AI-Powered Analysis of Eye Tracker Data in Basketball Game. / Lozzi, Daniele; Di Pompeo, Ilaria; Marcaccio, Martina et al.
in: Sensors, Jahrgang 25, Nr. 11, 3572, 05.06.2025.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Lozzi, D, Di Pompeo, I, Marcaccio, M, Alemanno, M, Krüger, M, Curcio, G & Migliore, S 2025, 'AI-Powered Analysis of Eye Tracker Data in Basketball Game', Sensors, Jg. 25, Nr. 11, 3572. https://doi.org/10.3390/s25113572
Lozzi, D., Di Pompeo, I., Marcaccio, M., Alemanno, M., Krüger, M., Curcio, G., & Migliore, S. (2025). AI-Powered Analysis of Eye Tracker Data in Basketball Game. Sensors, 25(11), Artikel 3572. https://doi.org/10.3390/s25113572
Lozzi D, Di Pompeo I, Marcaccio M, Alemanno M, Krüger M, Curcio G et al. AI-Powered Analysis of Eye Tracker Data in Basketball Game. Sensors. 2025 Jun 5;25(11):3572. doi: 10.3390/s25113572
Lozzi, Daniele ; Di Pompeo, Ilaria ; Marcaccio, Martina et al. / AI-Powered Analysis of Eye Tracker Data in Basketball Game. in: Sensors. 2025 ; Jahrgang 25, Nr. 11.
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AU - Alemanno, Michela

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AU - Curcio, Giuseppe

AU - Migliore, Simone

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