Assessment of Asymmetric Social Indicators using Non-Verbal Vocal Cues

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