Advanced Technologies for Human-Computer Interfaces in Mixed Reality

As human beings, we trust our five senses, that allow us to experience the world and communicate. Since our birth, the amount of data that every day we can acquire is impressive and such a richness reflects the complexity of humankind in arts, technology, etc. The advent of computers and the consequ...

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Bibliographic Details
Main Author: Marchesi, Marco <1977>
Other Authors: Ricco', Bruno
Format: Doctoral Thesis
Language:en
Published: Alma Mater Studiorum - Università di Bologna 2016
Subjects:
Online Access:http://amsdottorato.unibo.it/7522/
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spelling ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-75222016-08-10T05:13:27Z Advanced Technologies for Human-Computer Interfaces in Mixed Reality Marchesi, Marco <1977> ING-INF/01 Elettronica As human beings, we trust our five senses, that allow us to experience the world and communicate. Since our birth, the amount of data that every day we can acquire is impressive and such a richness reflects the complexity of humankind in arts, technology, etc. The advent of computers and the consequent progress in Data Science and Artificial Intelligence showed how large amounts of data can contain some sort of “intelligence” themselves. Machines learn and create a superimposed layer of reality. How data generated by humans and machines are related today? To give an answer we will present three projects in the context of “Mixed Reality”, the ideal place where Reality, Virtual Reality and Augmented Reality are increasingly connected as long as data enhance the digital experiences, making them more “real”. We will start with BRAVO, a tool that exploits the brain activity to improve the user’s learning process in real time by means of a Brain-Computer Interface that acquires EEG data. Then we will see AUGMENTED GRAPHICS, a framework for detecting objects in the reality that can be captured easily and inserted in any digital scenario. Based on the moments invariants theory, it looks particularly designed for mobile devices, as it assumes a light concept of object detection and it works without any training set. As third work, GLOVR, a wearable hand controller that uses inertial sensors to offer directional controls and to recognize gestures, particularly suitable for Virtual Reality applications. It features a microphone to record voice sequences that then are translated in tasks by means of a natural language web service. For each project we will summarize the main results and we will trace some future directions of research and development. Alma Mater Studiorum - Università di Bologna Ricco', Bruno 2016-06-09 Doctoral Thesis PeerReviewed application/pdf en http://amsdottorato.unibo.it/7522/ info:eu-repo/semantics/openAccess
collection NDLTD
language en
format Doctoral Thesis
sources NDLTD
topic ING-INF/01 Elettronica
spellingShingle ING-INF/01 Elettronica
Marchesi, Marco <1977>
Advanced Technologies for Human-Computer Interfaces in Mixed Reality
description As human beings, we trust our five senses, that allow us to experience the world and communicate. Since our birth, the amount of data that every day we can acquire is impressive and such a richness reflects the complexity of humankind in arts, technology, etc. The advent of computers and the consequent progress in Data Science and Artificial Intelligence showed how large amounts of data can contain some sort of “intelligence” themselves. Machines learn and create a superimposed layer of reality. How data generated by humans and machines are related today? To give an answer we will present three projects in the context of “Mixed Reality”, the ideal place where Reality, Virtual Reality and Augmented Reality are increasingly connected as long as data enhance the digital experiences, making them more “real”. We will start with BRAVO, a tool that exploits the brain activity to improve the user’s learning process in real time by means of a Brain-Computer Interface that acquires EEG data. Then we will see AUGMENTED GRAPHICS, a framework for detecting objects in the reality that can be captured easily and inserted in any digital scenario. Based on the moments invariants theory, it looks particularly designed for mobile devices, as it assumes a light concept of object detection and it works without any training set. As third work, GLOVR, a wearable hand controller that uses inertial sensors to offer directional controls and to recognize gestures, particularly suitable for Virtual Reality applications. It features a microphone to record voice sequences that then are translated in tasks by means of a natural language web service. For each project we will summarize the main results and we will trace some future directions of research and development.
author2 Ricco', Bruno
author_facet Ricco', Bruno
Marchesi, Marco <1977>
author Marchesi, Marco <1977>
author_sort Marchesi, Marco <1977>
title Advanced Technologies for Human-Computer Interfaces in Mixed Reality
title_short Advanced Technologies for Human-Computer Interfaces in Mixed Reality
title_full Advanced Technologies for Human-Computer Interfaces in Mixed Reality
title_fullStr Advanced Technologies for Human-Computer Interfaces in Mixed Reality
title_full_unstemmed Advanced Technologies for Human-Computer Interfaces in Mixed Reality
title_sort advanced technologies for human-computer interfaces in mixed reality
publisher Alma Mater Studiorum - Università di Bologna
publishDate 2016
url http://amsdottorato.unibo.it/7522/
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