| dc.contributor.advisor | Pattie Maes. | en_US |
| dc.contributor.author | Wu, Matthew(Matthew T.) | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2019-11-22T00:01:56Z | |
| dc.date.available | 2019-11-22T00:01:56Z | |
| dc.date.copyright | 2019 | en_US |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/123009 | |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 51-52). | en_US |
| dc.description.abstract | AlterEgo is a wearable, silent-speech device that is able to detect what word a user is attempting to say without discernible movement of the face or mouth. At it's current stage, the device can handle a vocabulary of about 10 words and this is enough to create usable applications for patients with speech impediments or speech loss. After thoroughly testing across a series of conditions with multiple patients per condition, we have found ALS to be the best suited condition for our system and a quick & urgent communication device to be its best application for this population. We present AlterEgo as a real-time, speech assistive technology and have made modifications so that ALS patients can effectively and independently use the device. | en_US |
| dc.description.statementofresponsibility | by Matthew Wu. | en_US |
| dc.format.extent | 52 pages | 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 | Electrical Engineering and Computer Science. | en_US |
| dc.title | AlterEgo as a speech interface for ALS patients | en_US |
| dc.title.alternative | Alter Ego as a speech interface for amyotrophic lateral sclerosis patients | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.identifier.oclc | 1127567528 | en_US |
| dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
| dspace.imported | 2019-11-22T00:01:55Z | en_US |
| mit.thesis.degree | Master | en_US |
| mit.thesis.department | EECS | en_US |
