A Review on Opportunities and Challenges of Machine Learning and Deep Learning for Eye Movements Classification

• Main Authors: Fikri, Muhammad Ainul, Santosa, Paulus Insap, Wibirama, Sunu
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: Other Engineering; Engineering
• Online Access: https://repository.ugm.ac.id/281565/1/A_Review_on_Opportunities_and_Challenges_of_Machine_Learning_and_Deep_Learning_for_Eye_Movements_Classification.pdf; https://repository.ugm.ac.id/281565/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124241626&doi=10.1109%2fIBITeC53045.2021.9649434&partnerID=40&md5=258e7f956280c2b40a88f4c3e5ddc6f7
• Institution: Universitas Gadjah Mada

Eye tracking has been used in touchless and assistive technologies to support disabled people as well as to provide more intuitive user interfaces. In this case, classification of events in eye tracking data is important to achieve higher object selection accuracy. Machine learning and deep learning...