Wearable-assisted social interaction as assistive technology for the blind
Name
892722087-MIT.pdf
Description
Full printable version
Size
6.58 MB
Format
Adobe PDF
Checksum (MD5)
1155e72b76acafe27aef03783c06a99d
Author(s)
Hayden, David S. (David Scott)
Advisor(s)
Seth Teller.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
This work presents an end-to-end wearable system designed to learn and assist its (potentially blind) wearers with daily social interactions. In particular, it visually identifies nearby acquaintances and provides timely, discreet notifications of their presence to the wearer. Offline, the system learns the people with whom the wearer interacts by automatically detecting social interactions through egocentric audio, video and accelerometer data and querying the wearer for the identities of persons unknown to the system.
Description
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
41
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 73-76).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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.
Persistent DSpace Link
