<?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>2026-09-19T18:54:10Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/120695" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/120695</identifier><datestamp>2021-07-05T14:03:20Z</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">Hiroshi Ishii.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Levine, Daniel Visan</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-03-01T19:59:03Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-03-01T19:59:03Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/120695</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1088722601</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis. "Some pages in the original document contain text that runs off the edge of the page"--Disclaimer Notice page.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 117-120).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">AUFLIP describes an auditory feedback system approach for learning advanced movements, informed and motivated by established methods of implicit motor learning by analogy, our physiological constraints, and the state of the art in augmented motor learning by feedback. AUFLIP presents and validates a physics simplification of an advanced movement, the front flip, and details the implementation of a wearable system, optimized placement procedure, and takeoff capture strategy to realizes this model. With an audio cue pattern that conveys this high level objective, the system is integrated into a gymnastics training environment with professional coaches teaching novice adults how to perform front flips. A strategy, system, and application set building off AUFLIP for more general movement, and applications is further proposed. Lastly, this work performs a preliminary investigatation into the notion of Audio-Movement Congruence, and whether audio feedback for motor learning can be personally tailored to individuals' contextual experiences and background, and explores future applications of the discussed systems and strategies.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Daniel Visan Levine.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">120 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">Program in Media Arts and Sciences ()</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">AUFLIP : teaching front flips with auditory feedback towards a system for learning advanced movement</dim:field>
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   	&lt;Title>AUFLIP : teaching front flips with auditory feedback towards a system for learning advanced movement&lt;/Title>
   	&lt;Subtitle>Teaching front flips with auditory feedback towards a system for learning advanced movement&lt;/Subtitle>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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   	&lt;Abstract>AUFLIP describes an auditory feedback system approach for learning advanced movements, informed and motivated by established methods of implicit motor learning by analogy, our physiological constraints, and the state of the art in augmented motor learning by feedback. AUFLIP presents and validates a physics simplification of an advanced movement, the front flip, and details the implementation of a wearable system, optimized placement procedure, and takeoff capture strategy to realizes this model. With an audio cue pattern that conveys this high level objective, the system is integrated into a gymnastics training environment with professional coaches teaching novice adults how to perform front flips. A strategy, system, and application set building off AUFLIP for more general movement, and applications is further proposed. Lastly, this work performs a preliminary investigatation into the notion of Audio-Movement Congruence, and whether audio feedback for motor learning can be personally tailored to individuals&amp;apos; contextual experiences and background, and explores future applications of the discussed systems and strategies.&lt;/Abstract>
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