396e3d57186c1f28fcb-740c 20230317053607445 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2023 12 5 College of Computer Studies, Technological Institute of the Philippines, Manila, Philippines Bryan G. Dadiz https://orcid.org/0000-0002-6802-5955 Alfio I.Regla College of Computer Studies, Technological Institute of the Philippines, Manila, Philippines This study is determining the correlation of human blinks relating to depression. The study uses convolutional neural network for detecting blinks in a video. Using Closed Eyes in the Wild dataset the Convolution Neural Network model was trained having 99.24% in training accuracy and 0.0275 loss from epoch of 50. However, the results from validation of the model resulted 61.09% tested from two datasets that where labelled with BDI-II depression scale. The study collated the results of recorded blinks from the video datasets and it showed that there is a weak positive correlation of the recorded blinks computed as blinking rates to depression. The result showed that the r2 score was 0>3.4 thus, there is a possibility but not the highly indicator of depression. 04 30 2023 7 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true No, I did not receive it. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijitee.E9488.0412523 https://www.ijitee.org/portfolio-item/E94880412523/