Visible-Spectrum Gaze Tracking for Sports

Pires, Bernardo R.; Hwangbo, Myung; Devyver, Michael; Kanade, Takeo

doi:10.1109/cvprw.2013.146

Cited by 16 publications

(5 citation statements)

References 9 publications

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“…Gaze point can be computed from the IC location and a reference point. Earlier works [35], [36] have used the eye centre and corneal reflections as reference points. False detection in any of the corners will result in performance degradation of the algorithm.…”

Section: F Gaze Estimationmentioning

confidence: 99%

Fast and accurate algorithm for eye localisation for gaze tracking in low‐resolution images

George

Routray

2016

IET Computer Vision

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Iris centre localization in low-resolution visible images is a challenging problem in computer vision community due to noise, shadows, occlusions, pose variations, eye blinks, etc. This paper proposes an efficient method for determining iris centre in low-resolution images in the visible spectrum. Even low-cost consumer-grade webcams can be used for gaze tracking without any additional hardware. A two-stage algorithm is proposed for iris centre localization. The proposed method uses geometrical characteristics of the eye. In the first stage, a fast convolution based approach is used for obtaining the coarse location of iris centre (IC). The IC location is further refined in the second stage using boundary tracing and ellipse fitting. The algorithm has been evaluated in public databases like BioID, Gi4E and is found to outperform the state of the art methods.

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Section: F Gaze Estimationmentioning

confidence: 99%

Fast and accurate algorithm for eye localisation for gaze tracking in low‐resolution images

George

Routray

2016

IET Computer Vision

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“…Gaze direction along with magnetic resonance imaging technique helps in developing potential interpersonal interaction [152, 153]. Sports: Eye movements helps athletes in anticipating where exactly the ball will bounce [154]. Eye gaze tracking can be used in enhancing skills and performance by analyzing eye movements of the players in cricket or squash type sports [155, 156, 157].…”

Section: Discussion About Research Objectives and Potential Future Amentioning

confidence: 99%

“…Sports: Eye movements helps athletes in anticipating where exactly the ball will bounce [154]. Eye gaze tracking can be used in enhancing skills and performance by analyzing eye movements of the players in cricket or squash type sports [155, 156, 157].…”

Section: Discussion About Research Objectives and Potential Future Amentioning

confidence: 99%

Use of information modelling techniques to understand research trends in eye gaze estimation methods: An automated review

Singh

Modi

2019

Heliyon

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Eye gaze tracking has been used to study the influence of visual stimuli on consumer behavior and attentional processes. Eye gaze tracking techniques have made substantial contributions in advertisement design, human computer interaction, virtual reality and disease diagnosis. Eye gaze estimation is considered critical for prediction of human attention, and hence indispensable for better understanding human activities. In this paper, Latent Semantic Analysis is used to develop an information model for identifying emerging research trends within eye gaze estimation techniques. An exhaustive collection of 423 titles and abstracts of research papers published during 2005–2018 were used. Five major research areas and ten research trends were classified based upon this study.

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“…In [33], the authors describe an EGT system that expands the visible range of the eye-gaze estimator. In particular, the method uses a good model to estimate the corners of the user's eyes and combines the learned data to estimate the iris.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Pupil Position by an Improved Technique of YOLO Network for Eye Tracking Application

S. Mary Rexcy Asha

2023

IJRITCC

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This Eye gaze following is the real-time collection of information about a person's eye movements and the direction of their look. Eye gaze trackers are devices that measure the locations of the pupils to detect and track changes in the direction of the user's gaze. There are numerous applications for analyzing eye movements, from psychological studies to human-computer interaction-based systems and interactive robotics controls. Real-time eye gaze monitoring requires an accurate and reliable iris center localization technique. Deep learning technology is used to construct a pupil tracking approach for wearable eye trackers in this study. This pupil tracking method uses deep-learning You Only Look Once (YOLO) model to accurately estimate and anticipate the pupil's central location under conditions of bright, natural light (visible to the naked eye). Testing pupil tracking performance with the upgraded YOLOv7 results in an accuracy rate of 98.50% and a precision rate close to 96.34% using PyTorch.

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Visible-Spectrum Gaze Tracking for Sports

Cited by 16 publications

References 9 publications

Fast and accurate algorithm for eye localisation for gaze tracking in low‐resolution images

Fast and accurate algorithm for eye localisation for gaze tracking in low‐resolution images

Use of information modelling techniques to understand research trends in eye gaze estimation methods: An automated review

Pupil Position by an Improved Technique of YOLO Network for Eye Tracking Application

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