Assessment of Asymmetric Social Indicators using Non-Verbal Vocal Cues

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$99,654.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-12-C-0071
Agency Tracking Number:
D121-002-0042
Solicitation Year:
2012
Solicitation Topic Code:
SB121-002
Solicitation Number:
2012.1
Small Business Information
Mentio, Inc.
5 Butternut Ln, Hanover, NH, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
968424981
Principal Investigator:
Tanzeem Choudhury
Chief Executive Officer
(617) 817-4514
tanzeem.choudhury@cornell.edu
Business Contact:
Ethan Berke
Chief Medical Officer
(603) 286-0376
emberke@gmail.com
Research Institution:
Stub




Abstract
The objective of this proposal is to develop, implement and evaluate a set of accurate and robust algorithms specifically designed to capture and measure multilateral social interactions automatically through audio-based methods based on asymmetric data design. We propose to accomplish this by: 1) Developing a novel method that uses multiple microphones interfaced with a smartphone and placed on a single participant to detect, segment and identify participants in a conversation using non-linguistic methods; and 2) Measuring interactions using conversational dynamics. We propose to evaluate our asymmetric design under controlled experimental laboratory scenarios with contextually relevant noise (i.e., explosions, traffic and street noise, etc.) to demonstrate robustness of the proposed audio methods to relevant military and medical scenarios. Finally, we aim to link the smartphone to a web-based platform that enables secure graphical visualization of transmitted social interaction data from a remote setting in a near real-time manner.

* information listed above is at the time of submission.

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