Automated detection of quiet eye durations in archery using electrooculography and comparative deep learning models
Abstract This study presents a deep learning-based approach for the automated detection of Quiet Eye (QE) durations from electrooculography (EOG) signals in archery. QE—the final fixation or tracking of the gaze before executing a motor action—is a critical factor in precision sports. Traditional de...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | BMC Sports Science, Medicine and Rehabilitation |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13102-025-01284-2 |
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