Wearable-assisted social interaction as assistive technology for the blind

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2014

Author dc:creator

• Hayden, David S. (David Scott)

Advisor dc:contributor.advisor

• Seth Teller.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/91089

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/91089