Measurement of Human Attention levels using Artificial Intelligence Pattern Simulation

Authors

  • Kunal Pimparkhede, Vinayak D.Shinde

Abstract

Artificial Intelligence (AI) refers to embedding intelligence demonstrated by Human beings on Computer elements. The aim of such technologies is to make machines put to show characteristics of human thoughts and actions. Without Artificial Intelligence technologies, the problems solved by machines are structured in nature. Methodology of structured programming produces well defined output against a structured input. The nature of inputs may vary across different problem domains. However, the process through which the input elements go through is consistent in nature. A different domain of problems are called unstructured programs which cannot be easily simulated by fixed or rigid algorithms. Based on the environment in which the algorithm(agent) executes spot or unstructured decisions are required to be executed to solve the problem. Such problems are called unstructured problems. Human mind gets trained to sole such problems for example, driving a car, heart surgery and many more. This paper depicts one such unstructured problem and its solution using artificial intelligence. The problem under consideration is to measure the human attention levels through computer system. The primary commitment of the study is to present the unique advancement calculation for the system, which permits the interaction fashioners to configuration measures, in light of business and cycle requirements. Second, we illustrate the inferred miniature assistance engineering that exists in virtual space, to acknowledge agile mechanization that can give agility and flexibility to the ideal computerization.

  Keywords- Artificial Intelligence, Human Attention Detection, Pattern Simulation

Published

2021-06-05

Issue

Section

Articles