PREDICTION AND ANALYSIS OF HUMAN PERCEPTION AND EMOTIONAL UNDERSTANDING THROUGH TECHNOLOGY – BLUE EYES TECHNOLOGY

Abstract

The human computer interaction (HCI) field has seen significant transformations throughout the course of its history, shifting from its early focus on effectiveness and utility to the innovative concept of emotional computing. This article explores these changes. This research investigates the transformational process that led to the development of goods such as Blue Eye technology. It does so by drawing on influential work such as "Affective computing," which focuses on universal representations of emotion. The destination of this journey is Blue Eye Technology, a fictitious concept that is based on true scientific advancements. In order to develop a framework that is both empathetic and responsive, the strategy that has been presented takes use of machine learning algorithms and cutting-edge sensing materials. By encompassing the historical context, significant works, and technological advancements that lay the framework for Blue Eye Technology, this abstract marks a significant step toward a more intuitive and emotionally aware period in human computer interaction. This abstraction is a significant stride. People are able to interact with computers in a manner that is more natural and efficient by utilizing these techniques, which are referred to as "Blue Eye" technology. These techniques include eye tracking and gaze recognition capabilities. Through its various uses, this technology has the potential to be beneficial to a wide range of industries, including computer gaming, virtual and augmented reality, and assistive technology for individuals with disabilities. The current status of Blue Eye technology, its potential benefits and drawbacks, and the several techniques and algorithms that are available for gaze tracking and analysis will be investigated in this paper. This will be accomplished through a review of the relevant literature.