<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T19:07:49Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/119558" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/119558</identifier><datestamp>2026-06-06T00:55:55Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Pattie Maes.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Trujano, Fernando</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-12-11T20:40:04Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-12-11T20:40:04Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/119558</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1076274228</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 75-79).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Mixed Reality (MR) technology allows us to seamlessly merge real and virtual worlds to create new experiences and environments. MR includes technologies such as Virtual Reality and Augmented Reality. Even though this technology has been around for several years, it is just starting to become available to an average consumer with the introduction of devices such as the HTC Vive and the Microsoft Hololens. This thesis consists of the design, implementation and evaluation of three projects that highlight a novel experience in mixed reality using existing sensors and peripherals. VRoom describes a simple and novel approach to 3D room scanning using only an HTC Vive and 360 camera. Mathland is a mixed reality application that enables users to interact with math and physics using a stretch sensor, IMU and camera. ARPiano is an augmented MIDI keyboard that offers a different approach to music learning by adding intuitive visuals and annotations.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Fernando Trujano.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">79 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Creating novel Mixed Reality experiences using existing sensors and peripherals</dim:field>
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   	&lt;Title>Creating novel Mixed Reality experiences using existing sensors and peripherals&lt;/Title>
   	&lt;Subtitle>Creating novel MR experiences using existing sensors and peripherals&lt;/Subtitle>
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   	&lt;Abstract>Mixed Reality (MR) technology allows us to seamlessly merge real and virtual worlds to create new experiences and environments. MR includes technologies such as Virtual Reality and Augmented Reality. Even though this technology has been around for several years, it is just starting to become available to an average consumer with the introduction of devices such as the HTC Vive and the Microsoft Hololens. This thesis consists of the design, implementation and evaluation of three projects that highlight a novel experience in mixed reality using existing sensors and peripherals. VRoom describes a simple and novel approach to 3D room scanning using only an HTC Vive and 360 camera. Mathland is a mixed reality application that enables users to interact with math and physics using a stretch sensor, IMU and camera. ARPiano is an augmented MIDI keyboard that offers a different approach to music learning by adding intuitive visuals and annotations.&lt;/Abstract>
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