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SENSEI - SENSING EMOTION NON-INVASIVELY FOR SOFTWARE-BASED EDUCATIONAL INSTRUCTION

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D11PC20207
Agency Tracking Number: 10SB1-0062
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SB101-002
Solicitation Number: 2010.1
Timeline
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-09-09
Award End Date (Contract End Date): N/A
Small Business Information
11150 W. Olympic Blvd. Suite 820
Los Angeles, CA -
United States
DUNS: 112136572
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Xiaoqing Liu
 Senior R&D Scientist
 (310) 473-1500
 xiaoqing@utopiacompression.com
Business Contact
 Joseph Yadegar
Title: EVP of R&D
Phone: (310) 473-1500
Email: joseph@utopiacompression.com
Research Institution
 Stub
Abstract

DARPA and DOD often make use of intelligent tutoring systems (ITSs) for administering training and education to their employees. Unfortunately, even the most modern electronic tutors cannot capture the student"s emotional states and provide no adjustment accordingly. The most effective learning occurs when the instructor engages students according to their current emotional state. To this end, UtopiaCompression (UC) is developing a multi-modal affect recognition system that can estimate the subject emotional state using a number of non-invasive external cues. UC"s solution includes a set of innovative feature extraction and analysis modules for various sensory data and a novel probabilistic fusion model that incorporates complementary cues to aid estimation of the subject"s affective state efficiently and robustly. UC"s affect recognition technology will vastly improve the effectiveness of DoD"s educational programs through accurate, efficient and non-invasive sensing of the student"s emotions. It can also be used in vast other military and civil applications. Based on the successful Phase I feasibility study, UC will undertake the objectives enumerated in the Phase II proposal to develop a robust and reliable realtime affect recognition prototype system. The generated prototype system will be tested and demonstrated in a close-loop real ITS environment.

* Information listed above is at the time of submission. *

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