You are here

Novel Sensor Algorithm for Monitoring and Improving Warfighter Performance

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-21-P-0030
Agency Tracking Number: A20B-T008-0259
Amount: $166,499.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A20B-T008
Solicitation Number: 20.B
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-12-30
Award End Date (Contract End Date): 2021-06-29
Small Business Information
12345 W. 52nd Ave.
Wheat Ridge, CO 80033-1916
United States
DUNS: 181947730
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ambalavanan Jayaraman
 (303) 940-5391
Business Contact
 Mr. John D. Wright
Phone: (303) 940-2300
Research Institution
 Texas Tech University
 Siva Vanapalli
P.O. Box 3102
Lubbock, TX 79409-1035
United States

 (806) 834-1757
 Nonprofit College or University

The explosion of new wearable medical monitoring devices, miniaturized sensors, and artificial intelligence is providing new opportunities to optimize human performance and mitigate the effects of stressors that degrade performance and health within operational settings, particularly for professional athletes. Similar techniques can be used to make tomorrow’s warfighter faster, smarter, and stronger than their adversaries.    In the proposed STTR Project, TDA in collaboration with Texas Tech University, proposes to integrate TDA’s wearable sweat sensor patch with other commercially available wearable devices. The time series biomarker data from the proposed multimodal sensor suite will be used to develop an artificial intelligence-based algorithm to track biophysiological states, including cognitive levels of the warfighter, in the presence of various environmental and physiological stressors. This ultimately will allow us to monitor and improve warfighter performance and health during training and combat. Since, the proposed wearable multimodal sensor suite includes the data on the biomarkers in sweat that provide valuable data on the hydration, stress and cognitive levels of the warfighter, the accuracy of the AI algorithm developed will be significantly better than using just physiological parameters (such as heart rate and motion) from COTS sensors alone.

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

US Flag An Official Website of the United States Government