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Henry Holtzman. Hemsley, Robert Michael Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. Program in Media Arts and Sciences (Massachusetts Institute of Technology) 2014-11-24T18:37:03Z 2014-11-24T18:37:03Z 2014 2014 http://hdl.handle.net/1721.1/91818 894217944 Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014. 62 Cataloged from PDF version of thesis. Includes bibliographical references (pages 99-102). This thesis outlines the design, development and evaluation of a computer vision framework known as Flow. Flow utilizes a wearable head mounted camera to observe user interactions, providing recognition of objects, locations, people, and gestures via machine vision and understanding. This supports the creation of a hybrid interaction environment, allowing users to access digital functionality and actions based on their interactions within the physical environment. Flow highlights the potential of cross device, environment interactions by providing the architecture to connect between existing platforms and devices. Example applications scenarios are provided to evaluate the framework. Each demonstrates the versatility of the system in supporting human computer interaction and prototyping of ubiquitous systems. Insight through user feedback and a technical evaluation is also provided. The work outlined in this thesis demonstrates the potential of passive observational computer vision systems in the augmentation of user interactions and the potential for further dissolved computing environments. by Robert Michael Hemsley. S.M. 104 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Architecture. Program in Media Arts and Sciences. Flow : a framework for reality-based interfaces Framework for reality-based interfaces Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="5c2ffb6a-5d62-4909-9ebf-b1cd6e3bc2aa"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Flow : a framework for reality-based interfaces</Title> <Subtitle>Framework for reality-based interfaces</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2014</PublicationDate> <Authors> <Author> <DisplayName>Hemsley, Robert Michael</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Architecture. Program in Media Arts and Sciences.</Keyword> <Abstract>This thesis outlines the design, development and evaluation of a computer vision framework known as Flow. Flow utilizes a wearable head mounted camera to observe user interactions, providing recognition of objects, locations, people, and gestures via machine vision and understanding. This supports the creation of a hybrid interaction environment, allowing users to access digital functionality and actions based on their interactions within the physical environment. Flow highlights the potential of cross device, environment interactions by providing the architecture to connect between existing platforms and devices. Example applications scenarios are provided to evaluate the framework. Each demonstrates the versatility of the system in supporting human computer interaction and prototyping of ubiquitous systems. Insight through user feedback and a technical evaluation is also provided. The work outlined in this thesis demonstrates the potential of passive observational computer vision systems in the augmentation of user interactions and the potential for further dissolved computing environments.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>