SBIR/STTR Research Award

Individualized, Noninvasive Speech Indicators for Tracking Elevations in Stress (INSITES)

Award identifier 753686534700dd2aa92b28aad2da8c28c32c1ca8f24ca7692fc2c523e2c6c2d1Awarding agency National Aeronautics and Space Administration

Award amount

$124,899

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
QUANTUM APPLIED SCIENCE & RESEARCH INC
Proposal award date
2019-08-19
Contract end date
2020-02-18
UEI
GWGDBN4PE928
Solicitation number
SBIR_19_P1
Topic code
H12

Research abstract

The complexity and round-the-clock nature of NASA operations in low Earth orbitnbsp;and future deep space missions, along with isolation in the hostile environment of space, can induce levels of acute and chronic stress that could compromise astronaut performance, leading to errors that could affect science payloads, crew safety and mission success. For the exploration of space a method is needed to assess operator state, quickly and reliably detect stress, and provide objective feedback to the individual, crew, and ground support, in order to mitigate adverse events and mishaps. We propose to develop a system that makes use of equipment that would be inherent to any spacecraft to identify Individualized, Noninvasive Speech Indicators for Tracking Elevations in Stress (INSITES). The goal of this INSITES project is to develop an unobtrusive, objective, and reliable detector of stress that measures changes in speech and vocalizations from equipment (microphones, communications systems, computers) used during operations, without requiring additional sensors or dedicated processing hardware. Under this project, Quantum Applied Science and Research (QUASAR) and the Florida Institute for Human and Machine Cognition (IHMC) will define features in speech known to indicate stress, develop algorithms to extract these features from recorded audio streams, and adapt QUASARrsquo;s machine learning cognitive state classification software, QStates, to process these speech features in real-time from voice audio streams.nbsp; We will create models for stress based on these features, and provide a real-time visual output describing an individualrsquo;s stress level. The team will also develop the plans for software or hardware integration for a completed tool fornbsp;implementationnbsp;in NASA spacecraft and habitats to detect changes in stress acutely and over time. Doing so could potentially provide an opportunity to assess and intervene before it adversely impacts mission safety, effectiveness, or success.nbsp;

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

68 SBIR/STTR records share this UEI (1998–2025). Reported award amounts total $29,034,619. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Science Foundation, National Aeronautics and Space Administration, Department of Homeland Security, Department of Agriculture

Agency intelligence

National Aeronautics and Space Administration

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