Projects
![A small sensor being adapted for the methane-detecting network](/sites/default/files/styles/list/public/project/image/2024-12/test%20chamber%20v2.jpg?itok=i5LFOrc8)
Low-Cost Methane Sensor Network
Deploying large networks of ground-based methane detectors could help detect pipeline leaks, improve climate models, and regulate emission sources.
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![Three project team members test the robot's flexibility in an indoor laboratory setting.](/sites/default/files/styles/list/public/project/image/2024-08/530726-013.jpg?itok=NseXgi-5)
Vine Robots for Collapsed Structure Mapping
These robots can navigate difficult urban disaster terrain to help responders locate and access victims for rescue.
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![A web application of CAP images, hosted on ArcGIS, is annotated using LADI v2. Circle sizes and colors represent likelihood of damage and damage type, adjustable filters are in the middle, and the right shows a preview of a selected point.](/sites/default/files/styles/list/public/project/image/2024-07/LADI%20image.png?h=8a55bbdf&itok=1j0XJdD_)
Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery
This software program helps disaster responders extract actionable information from post-disaster aerial images.
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![Graphic showing a military servicemember on the left and a full hospital scenario on the right.](/sites/default/files/styles/list/public/project/image/2024-07/Multimodal%20recovery%20lead%20image.png?itok=S7RxFhup)
Healthcare-Based Multimodal Recovery Prediction for the Servicemember
This machine learning model will help military and hospital personnel predict when servicemembers and patients may recover following an injury or surgery.
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![This image shows Mexico Beach, FL, after it sustained damage from Hurricane Michael in 2018. It was taken through NOAA’s Emergency Remote Sensing program. Satellites could provide similar information after more incidents. (Image courtesy of NOAA.)](/sites/default/files/styles/list/public/project/image/2022-09/DisasterSat%20image.jpg?itok=-mCu8dPb)
![A researcher tests a prototype ankle exoskeleton adapted with machine learning capabilities to adaptively and intelligently provide assistance.](/sites/default/files/styles/list/public/project/image/2022-08/Exoskeleton_CAREN.jpg?itok=lCsQqpFY)
Human-Exoskeleton Fluency
Researchers at the STRIVE Center are developing a fluid, intuitive exoskeleton system to improve the technology’s use in operational environments.
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![A participant walks on the treadmill in a virtual hospital hallway while the platform applies a rotation perturbation.](/sites/default/files/styles/list/public/project/image/2022-08/treadmill.png?itok=kZt6RtSq)
Assessment of Mild Traumatic Brain Injury
Researchers at the STRIVE Center are improving methods for identifying the mechanisms underlying balance impairments in patients with mild traumatic brain injury (mTBI).
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![PPE on blue cloth](/sites/default/files/styles/list/public/project/image/2022-08/iStock-1216294136%20%282%29.jpg?itok=KQBvWJKY)
National Demand PPE Study Web Application
The application helps users to plan pandemic response by estimating state and regional personal protective equipment (PPE) demand.
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![The Tagging Rapid Assessment Toolkit was used in New York City to automate the collection of biological samples in a field exercise.](/sites/default/files/styles/list/public/project/image/2022-07/523112-245D.jpg?h=be40dcad&itok=L-hcZ8EU)
Tagging Rapid Assessment Toolkit
This toolkit uses near-field communications tags to help researchers track biological samples and equipment during large, field-testing events.
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![Model-Based Systems Engineering Analysis image of warfighter](/sites/default/files/styles/list/public/project/image/2022-07/MBSE%20external%20web%20graphic%20v6.jpg?itok=-2Pe91a3)
Model-Based Systems Engineering Analysis
We are developing a tool to evaluate the landscape of wearable sensors, algorithms, and technologies and apply them to warfighter health and performance monitoring.
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