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James Glass. Tuan, Eann Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2017-01-12T18:18:43Z 2017-01-12T18:18:43Z 2016 2016 http://hdl.handle.net/1721.1/106387 967660939 Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 79-80). Logging daily food intake and nutritional information is a proven way to lose weight. However, research shows that existing approaches for the prevention and treatment of excess weight gain are ineffective, burdensome, and often times, inaccurate. Thus, we have developed a natural language processing based nutrition application that translates spoken food diaries into nutritional database entries. These food diaries are compiled from a comprehensive list of specific food items from various databases, including the United States Department of Agriculture (USDA), that sum to more than 10,000 food items. In this thesis, we describe the main components of the current nutrition system, the overall ow of the system architecture, and modifications of the previous system. We also discuss the creation of a constrained nutrition system specifically designed for user testing of 100 specific food items and the user studies that will assess the accuracy and eciency of the application. We include an analysis of the modifications made for the user study, such as an alternate method for storing images, and an evaluation of the additional features added, such as the ability to save audio recordings. The work described in this thesis is part of an ongoing data collection, language understanding experiments, and updated user interface design conducted as part of a larger effort to create a nutrition dialogue system that can support the larger database of food items. by Eann Tuan. M.Eng. 80 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 Electrical Engineering and Computer Science. Configuration and evaluation of a constrained nutrition dialogue system Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="7e109c78-527a-473c-9da0-aea8e3d1d6e6"> <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>Configuration and evaluation of a constrained nutrition dialogue system</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2016</PublicationDate> <Authors> <Author> <DisplayName>Tuan, Eann</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>Electrical Engineering and Computer Science.</Keyword> <Abstract>Logging daily food intake and nutritional information is a proven way to lose weight. However, research shows that existing approaches for the prevention and treatment of excess weight gain are ineffective, burdensome, and often times, inaccurate. Thus, we have developed a natural language processing based nutrition application that translates spoken food diaries into nutritional database entries. These food diaries are compiled from a comprehensive list of specific food items from various databases, including the United States Department of Agriculture (USDA), that sum to more than 10,000 food items. In this thesis, we describe the main components of the current nutrition system, the overall ow of the system architecture, and modifications of the previous system. We also discuss the creation of a constrained nutrition system specifically designed for user testing of 100 specific food items and the user studies that will assess the accuracy and eciency of the application. 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