2409291
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: Self awareness and stress regulation training via intelligent biofeedback - The broader impact/commercial potential of this Small Business Innovation Research project (SBIR) Phase II project is to develop a technology that trains law enforcement officers for better stress regulation and decision-making in stressful situations.
Police officers are tasked to confront highly stressful, potentially lethal encounters regularly; however, they may not receive sufficient stress management training leading to poor tactical decision-making, unnecessary use of force, and tension between themselves and the communities they serve.
Officers also accumulate stress over time leading to a high prevalence of mental and physical health issues including PTSD, substance abuse, and cardiovascular problems.
Agencies across the country are under immense pressure to revamp their training to meet the public demand for better behavior by officers.
The technology being developed under this proposal monitors officer stress via a wearable sensor.
Using state-of-the-art neuroscience and machine learning algorithms calculates if the officer’s stress level is sub-optimal for performance and offers insights and interventions for improvement.
This project will enhance our understanding of how physiology impacts police officer performance and the best methods to improve performance under stress.
It is serving a rapidly growing U.S. law enforcement training market of $540,000M.
The proposed project will complete the development and testing of a novel biofeedback-based law enforcement training program.
The project goals are (1) developing and implementing brief and effective stress management interventions such as guided audio scripts on the mobile application.
These interventions will be coupled to algorithms that measure stress regulation.
Their usability, feasibility, and effectiveness in reducing immediate stress during officer training will be measured.
(2) Improving existing machine learning algorithms that predict poor performance from physiological and other training data to offer more actionable data to trainers.
With better predictions, trainers can identify officers needing more training and deliver more targeted training with objective data.
These algorithms can also be used in the academy setting for selecting recruits.
(3) Testing the effectiveness of using biofeedback in combination with stress management techniques on police key officer performance and wellness metrics.
The effectiveness of this novel training on tactical decision making, appropriate use of force, defensive tactics, perceived stress, and anxiety will be evaluated.
Upon completion of the mentioned tasks, a stress management training program specifically designed for law enforcement training will be developed and scientifically validated.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
Police officers are tasked to confront highly stressful, potentially lethal encounters regularly; however, they may not receive sufficient stress management training leading to poor tactical decision-making, unnecessary use of force, and tension between themselves and the communities they serve.
Officers also accumulate stress over time leading to a high prevalence of mental and physical health issues including PTSD, substance abuse, and cardiovascular problems.
Agencies across the country are under immense pressure to revamp their training to meet the public demand for better behavior by officers.
The technology being developed under this proposal monitors officer stress via a wearable sensor.
Using state-of-the-art neuroscience and machine learning algorithms calculates if the officer’s stress level is sub-optimal for performance and offers insights and interventions for improvement.
This project will enhance our understanding of how physiology impacts police officer performance and the best methods to improve performance under stress.
It is serving a rapidly growing U.S. law enforcement training market of $540,000M.
The proposed project will complete the development and testing of a novel biofeedback-based law enforcement training program.
The project goals are (1) developing and implementing brief and effective stress management interventions such as guided audio scripts on the mobile application.
These interventions will be coupled to algorithms that measure stress regulation.
Their usability, feasibility, and effectiveness in reducing immediate stress during officer training will be measured.
(2) Improving existing machine learning algorithms that predict poor performance from physiological and other training data to offer more actionable data to trainers.
With better predictions, trainers can identify officers needing more training and deliver more targeted training with objective data.
These algorithms can also be used in the academy setting for selecting recruits.
(3) Testing the effectiveness of using biofeedback in combination with stress management techniques on police key officer performance and wellness metrics.
The effectiveness of this novel training on tactical decision making, appropriate use of force, defensive tactics, perceived stress, and anxiety will be evaluated.
Upon completion of the mentioned tasks, a stress management training program specifically designed for law enforcement training will be developed and scientifically validated.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23516
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Mountain View,
California
94043-3770
United States
Geographic Scope
Single Zip Code
Neurosmart was awarded
Cooperative Agreement 2409291
worth $999,647
from National Science Foundation in August 2024 with work to be completed primarily in Mountain View California United States.
The grant
has a duration of 2 years and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Cooperative Agreement was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase II Programs (SBIR/STTR Phase II).
Status
(Ongoing)
Last Modified 8/13/24
Period of Performance
8/1/24
Start Date
7/31/26
End Date
Funding Split
$999.6K
Federal Obligation
$0.0
Non-Federal Obligation
$999.6K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2409291
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
QSLHU5CDEQU5
Awardee CAGE
94ZZ8
Performance District
CA-16
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Modified: 8/13/24