An adaptive blink detector to initialize and update a view-basedremote eye gaze tracking system in a natural scenario

2009 ◽  
Vol 30 (12) ◽  
pp. 1144-1150 ◽  
Author(s):  
Diego Torricelli ◽  
Michela Goffredo ◽  
Silvia Conforto ◽  
Maurizio Schmid
Keyword(s):  
Tracking System ◽  
Eye Gaze ◽  
Gaze Tracking

scholarly journals Remote Eye-gaze Tracking System by One-point Gaze Calibration

2011 ◽  
Vol 65 (12) ◽  
pp. 1768-1775
Author(s):  
Yoshinobu Ebisawa ◽  
Kazuki Abo ◽  
Kiyotaka Fukumoto
Keyword(s):  
Tracking System ◽  
Eye Gaze ◽  
Gaze Tracking

Vision based wearable eye-gaze tracking system

2016 ◽  
Author(s):  
Cheng-Lung Jen ◽  
Yen-Lin Chen ◽  
You-Jie Lin ◽  
Chao-Hsien Lee ◽  
Augustine Tsai ◽  
...  
Keyword(s):  
Tracking System ◽  
Eye Gaze ◽  
Gaze Tracking

Multimodal Intelligent Eye-Gaze Tracking System

2015 ◽  
Vol 31 (4) ◽  
pp. 277-294 ◽  
Author(s):  
Pradipta Biswas ◽  
Pat Langdon
Keyword(s):  
Tracking System ◽  
Eye Gaze ◽  
Gaze Tracking

scholarly journals The application of image processing for Human-Computer Interface (HCI) using the Eye

2021 ◽  
Vol 2120 (1) ◽  
pp. 012030
Author(s):  
J K Tan ◽  
W J Chew ◽  
S K Phang
Keyword(s):  
Eye Tracking ◽  
Tracking System ◽  
Eye Gaze ◽  
Gaze Tracking ◽  
Tracking Method ◽  
Infrared Rays ◽  
Mouse Pointer ◽  
Hand Disability ◽  
Enzyme Denaturation ◽  
Human Eyes

Abstract The field of Human-Computer Interaction (HCI) has been developing tremendously since the past decade. The existence of smartphones or modern computers is already a norm in society these days which utilizes touch, voice and typing as a means for input. To further increase the variety of interaction, human eyes are set to be a good candidate for another form of HCI. The amount of information which the human eyes contain are extremely useful, hence, various methods and algorithm for eye gaze tracking are implemented in multiple sectors. However, some eye-tracking method requires infrared rays to be projected into the eye of the user which could potentially cause enzyme denaturation when the eye is subjected to those rays under extreme exposure. Therefore, to avoid potential harm from the eye-tracking method that utilizes infrared rays, this paper proposes an image-based eye tracking system using the Viola-Jones algorithm and Circular Hough Transform (CHT) algorithm. The proposed method uses visible light instead of infrared rays to control the mouse pointer using the eye gaze of the user. This research aims to implement the proposed algorithm for people with hand disability to interact with computers using their eye gaze.

scholarly journals The stability of the MEMS 2D mirror's operating point in terms of eye tracking systems

2020 ◽  
Vol 12 (2) ◽  
pp. 43
Author(s):  
Mateusz Pomianek ◽  
Marek Piszczek ◽  
Marcin Maciejewski ◽  
Piotr Krukowski
Keyword(s):  
Eye Tracking ◽  
Laser Scanning ◽  
Tracking System ◽  
Eye Gaze ◽  
Main Element ◽  
Head Tracking ◽  
Tracking Systems ◽  
Gaze Tracking ◽  
Pupil Detection ◽  
The Stability

This paper describes research on the stability of the MEMS mirror for use in eye tracking systems. MEMS mirrors are the main element in scanning methods (which is one of the methods of eye tracking). Due to changes in the mirror pitch, the system can scan the area of the eye with a laser and collect the signal reflected. However, this method works on the assumption that the inclinations are constant in each period. The instability of this causes errors. The aim of this work is to examine the error level caused by pitch instability at different points of work. Full Text: PDF ReferencesW. Fuhl, M. Tonsen, A. Bulling, and E. Kasneci, "Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art," Mach. Vis. Appl., vol. 27, no. 8, pp. 1275-1288, 2016, CrossRef X. Wang, S. Koch, K. Holmqvist, and M. Alexa, "Tracking the gaze on objects in 3D," ACM Trans. Graph., vol. 37, no. 6, pp. 1-18, Dec. 2018 CrossRef X. Xiong and H. Xie, "MEMS dual-mode electrostatically actuated micromirror," Proc. 2014 Zo. 1 Conf. Am. Soc. Eng. Educ. - "Engineering Educ. Ind. Involv. Interdiscip. Trends", ASEE Zo. 1 2014, no. Dmd, 2014 CrossRef E. Pengwang, K. Rabenorosoa, M. Rakotondrabe, and N. Andreff, "Scanning micromirror platform based on MEMS technology for medical application," Micromachines, vol. 7, no. 2, 2016 CrossRef J. P. Giannini, A. G. York, and H. Shroff, "Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy," PLoS One, vol. 12, no. 10, pp. 1-14, 2017 CrossRef C. Hennessey, B. Noureddin, and P. Lawrence, "A single camera eye-gaze tracking system with free head motion," Eye Track. Res. Appl. Symp., vol. 2005, no. March, pp. 87-94, 2005 CrossRef C. H. Morimoto and M. R. M. Mimica, "Eye gaze tracking techniques for interactive applications," Comput. Vis. Image Underst., vol. 98, no. 1, pp. 4-24, Apr. 2005 CrossRef S. T. S. Holmström, U. Baran, and H. Urey, "MEMS laser scanners: A review," J. Microelectromechanical Syst., vol. 23, no. 2, pp. 259-275, 2014 CrossRef C. W. Cho, "Gaze Detection by Wearable Eye-Tracking and NIR LED-Based Head-Tracking Device Based on SVR," ETRI J., vol. 34, no. 4, pp. 542-552, Aug. 2012 CrossRef T. Santini, W. Fuhl, and E. Kasneci, "PuRe: Robust pupil detection for real-time pervasive eye tracking," Comput. Vis. Image Underst., vol. 170, pp. 40-50, May 2018 CrossRef O. Solgaard, A. A. Godil, R. T. Howe, L. P. Lee, Y. A. Peter, and H. Zappe, "Optical MEMS: From micromirrors to complex systems," J. Microelectromechanical Syst., vol. 23, no. 3, pp. 517-538, 2014 CrossRef J. Wang, G. Zhang, and Z. You, "UKF-based MEMS micromirror angle estimation for LiDAR," J. Micromechanics Microengineering, vol. 29, no. 3, 201 CrossRef

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