Literature DB >> 25615905

Direct Gaze Estimation Based on Nonlinearity of EOG.

Hiroyuki Manabe, Masaaki Fukumoto, Tohru Yagi.   

Abstract

Electrooculography (EOG) is one of the measures used to estimate the direction of a person's gaze; however, conventional EOG techniques suffer from a drift issue which makes it difficult to extract an accurate absolute eye angle. The technique proposed here is based on the nonlinearity of the EOG and offers a practical solution to this problem. It estimates the absolute eye angles before and after a saccade, which cancels the offset due to the drift. Additionally, it does not require any effort from the user or any target, but instead uses only the difference of the EOGs. Experiments with five subjects confirm that the proposed technique can estimate the absolute eye angle with an error of less than 4(°). They also show improvements are achieved with several options such as weighting and multiple saccades. The technique will contribute to practical EOG-based interaction systems.

Entities:  

Mesh:

Year:  2015        PMID: 25615905     DOI: 10.1109/TBME.2015.2394409

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

Review 1.  EOG-Based Human-Computer Interface: 2000-2020 Review.

Authors:  Chama Belkhiria; Atlal Boudir; Christophe Hurter; Vsevolod Peysakhovich
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

2.  Real-time estimation of horizontal gaze angle by saccade integration using in-ear electrooculography.

Authors:  Ľuboš Hládek; Bernd Porr; W Owen Brimijoin
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

3.  Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor.

Authors:  Keiko Sakurai; Mingmin Yan; Koichi Tanno; Hiroki Tamura
Journal:  Comput Intell Neurosci       Date:  2017-08-20

4.  24-Gaze-Point Calibration Method for Improving the Precision of AC-EOG Gaze Estimation.

Authors:  Muhammad Syaiful Amri Bin Suhaimi; Kojiro Matsushita; Minoru Sasaki; Waweru Njeri
Journal:  Sensors (Basel)       Date:  2019-08-22       Impact factor: 3.576

5.  Development of a Computer Writing System Based on EOG.

Authors:  Alberto López; Francisco Ferrero; David Yangüela; Constantina Álvarez; Octavian Postolache
Journal:  Sensors (Basel)       Date:  2017-06-26       Impact factor: 3.576

  5 in total

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