Predictive text analysis using eye blinks. (December 2021)

• Record Type: Journal Article
• Authors: Chaudhary, Gopal; Lamba, Puneet Singh; Jolly, Harman Singh; Poply, Sakaar; Khari, Manju; Verdú, Elena
• Is Part Of: Computers & electrical engineering. Volume 96:Part A(2021)
• Publication Date: 2021-12
• Subjects: Eye facet ratio -- Eye facet correlation -- Histogram of oriented gradients -- Eye blinking -- Eye movements -- Eye gaze -- Support Vector Machines -- Convolutional neural networks; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2021.107554
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: The current work aims to facilitate interaction with others to those with the inability to perform activities requiring motor skills or those who cannot speak. It proposes a modus operandi or a system based on Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM), which automatically identifies eye blinks in real-time to predict a lexicon. The system implements an auxiliary input that enables individuals to interact with others with the help of a device, where voluntary long blinks help in transition from a counter to a predictive table, while the short blinks are used to make the counter stop and select the lexicon. The system does not require prior manual initialization, special lighting, or previous face detection as it can calibrate it if the user is in the camera region and close. The proposed user interface makes the process of words detection by blinking easier with 74% accuracy. Graphical abstract: Image, graphical abstract