Efficient facial expression recognition using adaboost and haar cascade classifiers

Gudipati, Vamshi Krishna; Barman, Oindrila Ray; Gaffoor, Mofica; Harshagandha,; Abuzneid, Abdelshakour

doi:10.1109/ct-ieta.2016.7868250

Cited by 8 publications

(1 citation statement)

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“…A study [76] uses an ASM (Active Shape Model) and SVM classifier to identify front-view human faces in real-time with 93% accuracy. Facial Expression Recognition (FER) classifies facial features linked to six emotions using Adaboost and Haar Cascade classifiers [77]. Some FER investigations used LBP, LDP, and KNN classifications to reach 96.83% recognition [78].…”

Section: Other Potential Applicationsmentioning

confidence: 99%

Application of Computer Vision and Mobile Systems in Education: A Systematic Review

Rubaiya Tasnim Sholi,

Sarker,

Md. Salman Sohel

et al. 2024

Int. J. Interact. Mob. Technol.

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The computer vision industry has experienced a significant surge in growth, resulting in numerous promising breakthroughs in computer intelligence. The present review paper outlines the advantages and potential future implications of utilizing this technology in education. A total of 84 research publications have been thoroughly scrutinized and analyzed. The study revealed that computer vision technology integrated with a mobile application is exceptionally useful in monitoring students’ perceptions and mitigating academic dishonesty. Additionally, it facilitates the digitization of handwritten scripts for plagiarism detection and automates attendance tracking to optimize valuable classroom time. Furthermore, several potential applications of computer vision technology for educational institutions have been proposed to enhance students’ learning processes in various faculties, such as engineering, medical science, and others. Moreover, the technology can also aid in creating a safer campus environment by automatically detecting abnormal activities such as ragging, bullying, and harassment.

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Section: Other Potential Applicationsmentioning

confidence: 99%