Fixation precision in high-speed noncontact eye-gaze tracking

被引:28
|
作者
Hennessey, Craig [1 ]
Noureddin, Borna [1 ]
Lawrence, Peter [1 ]
机构
[1] Univ British Columbia, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
eye-gaze tracking; fixation precision; head free; high speed; human-computer interface; noncontact; remote;
D O I
10.1109/TSMCB.2007.911378
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The precision of point-of-gaze (POG) estimation during a fixation is an important factor in determining the usability of a noncontact eye-gaze tracking system for real-time applications. The objective of this paper is to define and measure POG fixation precision, propose methods for increasing the fixation precision, and examine the improvements when the methods are applied to two POG estimation approaches. To achieve these objectives, techniques for high-speed image processing that allow POG sampling rates of over 400 Hz are presented. With these high-speed POG sampling rates, the fixation precision can be improved by filtering while maintaining an acceptable real-time latency. The high-speed sampling and digital filtering techniques developed were applied to two POG estimation techniques, i.e., the highspeed pupil-corneal reflection (HS P-CR) vector method and a 3-D model-based method allowing free head motion. Evaluation on the subjects has shown that when operating at 407 frames per second (fps) with filtering, the fixation precision for the HS P-CR POG estimation method was improved by a factor of 5.8 to 0.035 degrees (1.6 screen pixels) compared to the unfiltered operation at 30 fps. For the 3-D POG estimation method, the fixation precision was improved by a factor of 11 to 0.050 degrees (2.3 screen pixels) compared to the unfiltered operation at 30 fps.
引用
收藏
页码:289 / 298
页数:10
相关论文
共 50 条
  • [31] Optimal Eye-Gaze Fixation Position for Face-Related Neural Responses
    Zerouali, Younes
    Lina, Jean-Marc
    Jemel, Boutheina
    PLOS ONE, 2013, 8 (06):
  • [32] Development of an Eye-Gaze Input System With High Speed and Accuracy through Target Prediction Based on Homing Eye Movements
    Murata, Atsuo
    Doi, Toshihisa
    Kageyama, Kazushi
    Karwowski, Waldemar
    IEEE ACCESS, 2021, 9 : 22688 - 22697
  • [33] AWARENESS EVALUATION OF PATIENTS IN VEGETATIVE STATE EMPLOYING EYE-GAZE TRACKING SYSTEM
    Kunka, Bartosz
    Czyzewski, Andrzej
    Kwiatkowska, Agnieszka
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2012, 21 (02)
  • [34] Development of an Eye-Gaze Controlled Interface for Surgical Manipulators Using Eye-Tracking Glasses
    Yip, Hiu Man
    Navarro-Alarcon, David
    Liu, Yun-hui
    2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2016, : 1900 - 1905
  • [35] Eye-Tracking for Avatar Eye-Gaze and Interactional Analysis in Immersive Collaborative Virtual Environments
    Steptoe, William
    Wolff, Robin
    Murgia, Alessio
    Guimaraes, Estefania
    Rae, John
    Sharkey, Paul
    Roberts, David
    Steed, Anthony
    CSCW: 2008 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK, CONFERENCE PROCEEDINGS, 2008, : 197 - +
  • [36] USER-CALIBRATION-FREE REMOTE EYE-GAZE TRACKING SYSTEM WITH EXTENDED TRACKING RANGE
    Model, Dmitri
    Eizenman, Moshe
    2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2011, : 1268 - 1271
  • [37] A non-contact eye-gaze tracking system for human computer interaction
    Qi, Ying
    Wang, Zhi-Liang
    Huang, Ying
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 68 - 72
  • [38] A free geometry model-independent neural eye-gaze tracking system
    Gneo, Massimo
    Schmid, Maurizio
    Conforto, Silvia
    D'Alessio, Tommaso
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2012, 9
  • [39] SAT Reading Analysis Using Eye-Gaze Tracking Technology and Machine Learning
    Howe, Andrew
    Phong Nguyen
    INTELLIGENT TUTORING SYSTEMS, ITS 2018, 2018, 10858 : 332 - 338
  • [40] A free geometry model-independent neural eye-gaze tracking system
    Massimo Gneo
    Maurizio Schmid
    Silvia Conforto
    Tommaso D’Alessio
    Journal of NeuroEngineering and Rehabilitation, 9