SBIR-STTR Award

ยป Award Details ARCHER: an AI Readiness and Control Helmet for EEG Recognition
Award last edited on: 9/20/2022

Sponsored Program
STTR
Awarding Agency
DOD : AF
Total Award Amount
$125,000
Award Phase
2
Solicitation Topic Code
AF19B-T001
Principal Investigator
Chad Mello

Company Information

OmniScience LLC

1776 Broadway Unit 816
Denver, CO 80202
   (720) 233-5474
   N/A
   www.omnisciencellc.com

Research Institution

University of Colorado Colorado Springs

Phase I

Contract Number: FA8649-19-P-A077
Start Date: 8/2/2019    Completed: 8/2/2020
Phase I year
2019
Phase I Amount
$25,000
This proposed Phase I STTR effort will be a collaboration between OmniScience LLC and the University of Colorado Colorado Springs (UCCS) Vision and Security Technology (VAST) Lab. The primary objective of this Phase I effort is to demonstrate feasibility of a brain computer interface (BCI) controller for augmented/virtual reality (AR/VR) and conventional screen displays, referred to herein as an AI Readiness and Control Helmet with EEG Recognition (ARCHER). This ARCHER controller serves two purposes: 1) to control electronic devices via thought and 2) to optionally monitor the mental state of the operator. OmniScience has developed early-stage prototype hardware and software and there are numerous prospective commercial markets for this technology (discussed in more depth later), including gaming, workflow, training, consumer electronics, and medical devices, that OmniScience aims to pursue. However, there are also a number of prospective applications for this technology within the USAF that we outline herein.The purpose of this Phase I effort is to expand this hardware to further research and develop ARCHERs hardware/software interfaces and to scout out prospective customers both within and outside the USAF.Brain computer interface,machine learning,EEG Controller,AUGMENTED REALITY,User Interface

Phase II

Contract Number: FA8649-20-P-0420
Start Date: 1/16/2020    Completed: 1/16/2022
Phase II year
2020
Phase II Amount
$100,000
Transfer learning AI approaches shall be used to customize EEG BCI models to users for monitoring vigilance decrement and task disengagement in realistic use-cases seen by UAS operators and trainees.