Related Experiment Video
Updated: Aug 6, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
Published on: February 16, 2019
Developing AI enabled sensors and decision support for military operators in the field
Brian K Russell1, Josh McGeown2, Bettina L Beard3
1Sports Performance Institute of New Zealand, Auckland University of Technology, New Zealand; Ambient Cognition Limited, Aukland, New Zealand.
Abstract:
Wearable sensors enable down range data collection of physiological and cognitive performance of the warfighter. However, autonomous teams may find the sensor data impractical to interpret and hence influence real-time decisions without the support of subject matter experts. Decision support tools can reduce the burden of interpreting physiological data in the field and incorporate a systems perspective where noisy field data can contain useful additional signals. We present a methodology of how artificial intelligence can be used for modeling human performance with decision-making to achieve actionable decision support. We provide a framework for systems design and advancing from the laboratory to real world environments. The result is a validated measure of down-range human performance with a low burden of operation.
More Related Videos
13:01Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022
06:20Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
Published on: December 6, 2024
Related Concept Videos
Operational Amplifiers
Introduction to Global Positioning System
Mechanical Systems
Applications of GIS: Disaster Management and Emergency Response
Electro-mechanical Systems
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
Pilot and Numeric Relaying