Early Detection of Eye Fatigue Using Non-Invasive EOG Signals
- 1Anna University Chennai, Department of ECE, K. Ramakrishnan college of engineering, Tamilnadu, IN
References
[1]
??R. S. Young and D. Sheena, "Survey of eye movement
recording methods," Behav. Res. Methods Instrum., vol. 7, no. 5, pp.
397–429, 1975.
[2]
J. Smith and T. Johnson, "Blink behavior and visual fatigue
analysis using EOG signals," IEEE Trans. Biomed. Eng., vol. 64, no. 9, pp.
2153–2161, 2017.
[3] A.
Kumar, P. Verma, and S. Singh, "Driver fatigue detection through EOG-based
blink analysis," IEEE Sensors J., vol. 19, no. 12, pp. 4600–4607, 2019.
[4] J.
Ahn and S. Lee, "Effects of cognitive load on blink characteristics
measured using EOG," Biomed. Signal Process. Control, vol. 41, pp.
222–228, 2018.
[5] L.
Zhao and H. Lee, "EOG feature extraction and machine learning
classification for fatigue detection," IEEE Access, vol. 8, pp.
112450–112460, 2020.
[6] J.
Park, H. Kim, and D. Choi, "Multi-feature EOG analysis for accurate
fatigue identification," Sensors, vol. 22, no. 4, pp. 1–14, 2022.
[7] M.
Rahman and S. Bera, "Synthetic EOG signal generation for blink modeling
and fatigue simulation," J. Med. Eng. Technol., vol. 45, no. 3, pp.
181–190, 2021.
[8] P.
K. Rangayyan, Biomedical Signal Analysis, 2nd ed. Hoboken, NJ, USA: Wiley-IEEE
Press, 2015.
[9] S.
Mallat, A Wavelet Tour of Signal Processing, 3rd ed. Cambridge, MA, USA:
Academic Press, 2008.
[10] G.
Li and F. Lu, "Eye fatigue assessment using blink duration and
variability," Vision Res., vol. 123, pp. 34–40, 2016.
[11] H.
Chen and Y. Wu, "Electrooculography-based monitoring of visual
workload," Int. J. Human-Comput. Stud., vol. 108, pp. 1–10, 2017.
[12] R.
Barea, L. Boquete, M. Mazo, and E. Lopez, "System for assisting disabled
people using EOG," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 10, no. 4,
pp. 209–218, 2002.
[13]
P. A. L. Reiner, "Analysis of blink amplitude and frequency
as fatigue indicators," Human Factors, vol. 61, no. 5, pp. 732–741, 2019.
[14]
S. Patel and A. Roy, "Non-invasive ocular signal analysis for
early fatigue detection," Procedia Compute. Sci., vol. 192, pp. 3753–3760,
????????????????2021.
Keywords: Electrooculography (EOG), Eye Fatigue Detection, Blink Signal Analysis, Biomedical Signal Processing, Non-Invasive Monitoring
Citation: Dr. J. Roseline Suganthi*,Dr. J. Roseline Suganthi ( 2026), Early Detection of Eye Fatigue Using Non-Invasive EOG Signals. , 13(1): 1-5
Received: 10/12/2025; Accepted: 02/01/2026;
Published: 03/01/2026
Edited by:
Mr.ERES JOURNALSReviewed by:
Copyright: @eres journals.
*Correspondence: Dr. J. Roseline Suganthi, jroselinsuganthiece@krce.ac.in
