Concepedia

Machine Learning For Electrooculograms

Machine Learning for Electrooculograms is a computational methodology that applies machine learning algorithms to analyze and interpret electrooculographic signals for the purpose of classifying ocular movements, detecting physiological states, or enabling human-computer interaction, distinguished by its focus on data-driven modeling of eye movement patterns from electrooculogram recordings.

22

Publications

569

Citations

97

Authors

47

Institutions

Publications per year

2017–2026

13

Parents

Publications

22

A novel approach to driving fatigue detection using forehead EOG

Yu-Fei Zhang, Xiangyu Gao, Jiayi Zhu et al. · 2015 · 64 citations

, , +17

Classification of electro-oculogram signals using artificial neural network

Ayşegül Güven, Sadık Kara · Expert Systems with Applications · 2005 · 61 citations

, , +14

Electrooculogram signal identification for elderly disabled using Elman network

M. Thilagaraj, N. Arunkumar, S. Hariharasitaraman · Microprocessors and Microsystems · 2021 · 41 citations

, , +13

Comparison of ANN and SVM for classification of eye movements in EOG signals

Lim Jia Qi, Norma Alias · Journal of Physics Conference Series · 2018 · 39 citations · Full text

, , +17

Online Voluntary Eye Blink Detection using Electrooculogram

Masaki Nakanishi, Yasue Mitsukura, Yijun Wang et al. · IEICE Proceeding Series · 2014 · 34 citations

, , +16

1–5 of 22

Authors

97

  1. BL
    Bao‐Liang Lu

    Shanghai Jiao Tong University, China

    3 publications · 105 citations

    3

    h-index

  2. RO
    R. Ortega-Palacios

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    2 publications · 58 citations

    2

    h-index

  3. SK
    Sadık Kara

    Erciyes University, Türkiye

    2 publications · 74 citations

    2

    h-index

  4. FD
    Francisco David Pérez-Reynoso

    Universidad del Valle de México, Mexico

    2 publications · 58 citations

    2

    h-index

  5. EM
    Elizabeth M. Davenport

    Wake Forest University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 97

Institutions

47

  1. Shanghai Jiao Tong University

    Shanghai, China

    3 h-index

    12 publications

    459 citations

  2. Universidad Politécnica de Pachuca

    Villa Zempoala, Mexico

    2 h-index

    6 publications

    174 citations

  3. Erciyes University

    Kayseri, Türkiye

    2 h-index

    4 publications

    148 citations

  4. Zonguldak Bülent Ecevit University

    Zonguldak, Türkiye

    1 h-index

    2 publications

    38 citations

  5. Indian Institute of Technology Madras

    Chennai, India

    1 h-index

    2 publications

    30 citations

  6. Universidad del Valle de México

    Mexico City, Mexico

    1 h-index

    2 publications

    60 citations

  7. Wake Forest University

    Winston-Salem, United States

    1 h-index

    1 publications

    20 citations

  8. Karpagam Academy of Higher Education

    Coimbatore, India

    1 h-index

    1 publications

    41 citations

1–8 of 47

Venues

  1. Expert Systems with Applications

    3 publications · 91 citations

    3

    h-index

  2. Biomedical Signal Processing and Control

    2 publications · 53 citations

    2

    h-index

  3. Sensors

    2 publications · 58 citations

    2

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 1 publications · 20 citations

    1

    h-index

  5. Electronics

    1 publications · 15 citations

    1

    h-index

1–5