Hover : A wearable object identification system for audio augmented reality interactions

We design, implement, and test a wearable object identification system which allows users to "hover" their hands over objects of interest and get access to contextual information that may be tied to them, through an intelligent personal assistant. The system uses a fusion of sensors to be able to perform the identification of an object under a variety of conditions. Among these sensors there is a camera (operating in the visible and infrared spectrum), a small solid-state radar, and multi-spectral light spectroscopy sensors. Users can interact with contextual information tied to an object through conversations with an intelligent assistant to permit a hands-free, non-obtrusive, and personalized experience. The system explores audio interfacing with augmented reality content without the hassle of phones or head mounted devices.

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Colón-Hernández, Pedro A. (Pedro Antonio)

Advisor dc:contributor.advisor

• V. Michael Bove.

• Program in Media Arts and Sciences ()

Statement 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.

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/1721.1/119083

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/119083