dc.contributor.advisor | Venkatesh N. Murthy and Maria Yang. | en_US |
dc.contributor.author | Wu, Jin,S.M.Massachusetts Institute of Technology. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Engineering and Management Program. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Mechanical Engineering. | en_US |
dc.contributor.other | System Design and Management Program. | en_US |
dc.date.accessioned | 2019-10-11T22:17:14Z | |
dc.date.available | 2019-10-11T22:17:14Z | |
dc.date.copyright | 2019 | en_US |
dc.date.issued | 2019. | en_US |
dc.date.issued | 2019. | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/122564 | |
dc.description | Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2019. | en_US |
dc.description | Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 120-122). | en_US |
dc.description.abstract | The olfactory system remains one of the least well understood out of the five senses. In this thesis we examined the mappings of the odors to pathways in the brain as an initial assessment for the feasibility of digital odor. The results confirmed previous findings that each odor activated 1-6 neurons. Next, we looked at a controversial theory of odor detection using vibrations popularized recently by Luca Turin and its implications using Human Centered Design (HCD). We analyze the viability of products that could result from synthesizing digital smell using frequencies in the infrared range produced by vibrations and the general public's perceptions of these products. The results show that the technology is not readily accepted by users at the present time. | en_US |
dc.description.statementofresponsibility | by Jun Wu. | en_US |
dc.format.extent | 122 p. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | 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. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Engineering and Management Program. | en_US |
dc.subject | Mechanical Engineering. | en_US |
dc.subject | System Design and Management Program. | en_US |
dc.title | Odor mapping in neuroscience and design | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.M. in Engineering and Management | en_US |
dc.description.degree | S.M. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering and Management Program | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.identifier.oclc | 1119538991 | en_US |
dc.description.collection | S.M.inEngineeringandManagement Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program | en_US |
dc.description.collection | S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering | en_US |
dspace.imported | 2019-10-11T22:17:12Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | SysDes | en_US |
mit.thesis.department | MechE | en_US |