1st Edition

Artificial Intelligence-Based System for Gaze-Based Communication

    172 Pages 42 Color Illustrations
    by CRC Press

    This book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and artificial intelligence.

    Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability.

    This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of computer vision and image processing.

    1. Introduction to Gaze-based Communication. 2. Assistive Technologies to Implicit Intention Communication Through Visual Behaviour for Daily Living Activities. 3. An Integrated System for Improved Implicit Intention Communication for Older People on Daily Living Activities. 4. The Artificial Neural Network Approached Gaze-based Implicit Intention Communication. 5. Gaze-based Tracking Applications for the Assisted Living of Elderly People. 6. The Challenges of Identifying Daily Living Activities Through Visual Behaviour.


    Dr. B.G.D.A. Madhusanka received his B.Tech (Honours) from the Open University of Sri Lanka in 2010, followed by a Master’s in Industrial Automation from the University of Moratuwa in 2017. In 2022 he graduated with his PhD in Informatics from the Malaysia University of Science and Technology (MUST). His research direction focus on image processing, service robotics, artificial intelligence, gesture recognition, activities of daily living, and automation. Professor Sureswaran Ramadass is a Professor at the Malaysian University of Science and Technology (MUST). He is also the Chief Scientist at Crystalviewhd Sdn Bhd (formerly known as NLTVC Sdn Bhd), Crystalviewhd is a Next Generation Internet Communications research and development company and the Managing Director of VHGlobal Sdn Bhd. VHGlobal is an advanced patient-centric global telehealth platform. Before this, he was the founding Director and Professor at the National Advanced IPv6 Centre of Excellence (NAV6), Universiti Sains Malaysia. He obtained his BsEE/CE (Magna Cum Laude) and Masters in Electrical and Computer Engineering from the University of Miami in 1987 and 1990. He graduated top student in the College of Engineering. He obtained his PhD from Universiti Sains Malaysia (USM) in 2000 while serving as a full-time faculty in the School of Computer Sciences.

    Professor Dr Premkumar Rajagopal received his BBA from RMIT University in Melbourne in the year 1996, followed up by an MBA in Universiti Utara Malaysia in 1998. In 2006, he graduated with his PhD in Management from Universiti Sains Malaysia 2006. The current President of Malaysia University of Science and Technology, Prof. Dr. Premkumar is a detail-oriented University President with 14 years of experience in the Education Industry. He is an experienced Logistics and Supply Chain Manager with over 12 years of experience in the electronic industry (INTEL TECHNOLOGY). His professional experience has also earned him the recognition from International Supply Chain Education Alliance (ISCEA), as he was appointed as the President of the ISCEA Malaysia in 2020. Eng.

    H.M.K.K.M.B. Herath is a Lecturer in the School of Computing and IT, at the Sri Lanka Technological Campus (SLTC). He teaches course modules in Robotics Engineering, Autonomous Systems, and Embedded System Development. In 2019, Herath received Bachelor of Technology Honours in Mechatronics Engineering at The Open University of Sri Lanka. In 2016, he also graduated from the National Institute of Business Management. He holds professional membership at The Institution of Engineers Sri Lanka (IESL), Engineering Council Sri Lanka (ECSL), and the Institute of Electrical and Electronics Engineers (IEEE). His research interests are in the fields of Biomedical Engineering, Brain-Computer Interfacing (BCI), the Internet of Things (IoT), Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Computational Intelligence.