Details
| Original language | English |
|---|---|
| Article number | 3572 |
| Journal | Sensors |
| Volume | 25 |
| Issue number | 11 |
| Publication status | Published - 5 Jun 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.
Keywords
- Artificial Intelligence, basketball, cognitive psychology, Computer Vision, eye tracking, sport psychology
ASJC Scopus subject areas
- Chemistry(all)
- Analytical Chemistry
- Computer Science(all)
- Information Systems
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Biochemistry, Genetics and Molecular Biology(all)
- Biochemistry
- Physics and Astronomy(all)
- Instrumentation
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Sensors, Vol. 25, No. 11, 3572, 05.06.2025.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - AI-Powered Analysis of Eye Tracker Data in Basketball Game
AU - Lozzi, Daniele
AU - Di Pompeo, Ilaria
AU - Marcaccio, Martina
AU - Alemanno, Michela
AU - Krüger, Melanie
AU - Curcio, Giuseppe
AU - Migliore, Simone
N1 - Publisher Copyright: © 2025 by the authors.
PY - 2025/6/5
Y1 - 2025/6/5
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - basketball
KW - cognitive psychology
KW - Computer Vision
KW - eye tracking
KW - sport psychology
UR - http://www.scopus.com/inward/record.url?scp=105007795162&partnerID=8YFLogxK
U2 - 10.3390/s25113572
DO - 10.3390/s25113572
M3 - Article
VL - 25
JO - Sensors
JF - Sensors
SN - 1424-8220
IS - 11
M1 - 3572
ER -