Open AccessPredicting Mouse Cursor Target using Backpropagation Neural Network
Author(s) -
Pradeep Kumar K V,
Jogesh Motwani
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1787.029420
Subject(s) - cursor (databases) , backpropagation , computer science , artificial neural network , artificial intelligence , process (computing) , human–computer interaction , facial expression , computer vision , machine learning , operating system
Many solutions were proposed in the past decades to assist the people with disability in the movement to interact with personal computers. Various results were proposed to simulate the mouse cursor movement and click operations through facial expressions captured by the camera. Tracking and converting accurately the facial expression of the user to the mouse operation is still acknowledged as a research challenge and opportunity. The proposed system introduces a prediction of items to be selected by the user in the GUI based system applying the backpropagation neural network techniques to improve the performance of the overall selection process.