Wearable-assisted social interaction as assistive technology for the blind

• Main Author: Hayden, David S. (David Scott)
• Other Authors: Seth Teller.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2014
• Subjects: Electrical Engineering and Computer Science.
• Online Access: http://hdl.handle.net/1721.1/91089

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). === 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. === by David S. Hayden. === S.M. in Computer Science and Engineering