Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 22 Issue 1

© 2022. Luigi Bibbò & Francesco Carlo Morabito. This research/review article is distributed under the terms of the Attribution- NonCommercial-NoDerivatives 4.0 International (CC BYNCND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/ licenses/by-nc-nd/4.0/. Neural Network Design using a Virtual Reality Platform By Luigi Bibbò & Francesco Carlo Morabito DIIES University Abstract- The evolution of Deep Learning (DL), a subset of machine learning, has made their use very effective in many artificial intelligence (AI) fields. In parallel Virtual Reality is going wide in many applications thanks to the proliferation of cameras in mobile devices and improved processing efficiency. Data visualization in deep learning is a fundamental element for which it can benefit from the advantages offered by the visualization of the VR for the development of the models. In addition, the researchers can widely use the editing of images and videos in the machine learning process to design a convolutional network suitable for image recognition. In this study, we want to demonstrate the usefulness of this approach in collecting data within virtual reality to train and optimize a convolutional neural network used to recognize human activities (HAR). Keywords: machine learning, deep learning, neural nets, visualization, virtual reality. GJCST-D Classification: F.1.1 NeuralNetworkDesignusingaVirtualRealityPlatform Strictly as per the compliance and regulations of: Global Journal of Computer Science and Technology: D Neural & Artificial Intelligence Volume 22 Issue 1 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 0975-4172 & Print ISSN: 0975-4350