Description
Title: Using cameras on mobile devices and robot mounts, gaze direction can be detected.
Abstract: Human communication typically occurs through speech and eye contact. Eye contact is a crucial part of communication because it helps people understand each other’s intentions, desires, interests, and other characteristics. The objective of this research is to create a framework for gaze-triggered events that can be used to conduct experiments on a robot and mobile devices. We put the framework and methods for determining gaze direction based on a camera mounted on a robot or a camera on a mobile device to the test through experiments. We examine how user eye and head movements affect overall accuracy as well as how light affects the precision of gaze estimation. Our study demonstrates the significance of both light intensity and light source placement. We found that the accuracy of all of the robot-mounted gaze detection modules tested was comparable. The framework we created was put to the test in an experiment involving human-robot interaction and a mock job interview. We were able to test various framework elements in this scenario’s exile structure, which was very helpful for advancing our long-term research objective of designing user-friendly gaze-based interfaces for human-robot communication.
Keywords: gaze-direction detection, eye-tracking, face detection, robot, mobile device
Paper Quality: SCOPUS / Web of Science Level Research Paper
Paper type: Analysis Based Research Paper
Subject: Computer Science
Writer Experience: 20+ Years
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