Award Data

SSCI and ASU (Prof. Nancy Cooke) propose to develop SHADE (Shared Awareness in Denied Environments) - a comprehensive decision support tool which will facilitate smooth mission execution under information degradation and losses in mixed initiative teams (MIT) involving collaborating autonomous vehicles. In Phase I we propose to perform initial development, integration and testing of the SHADE tech ...

Intuitive mission displays and planning capabilities are needed to enhance pilot and operator situation awareness when teaming with next-generation autonomous vehicles in tactical operations. To address this, we will design and demonstrate Tactical Interfaces for Teaming with Autonomy (TITAN) to increase the shared awareness for manned/unmanned teams in distributed and complex communications envir ...

Virtual EM and Case Western Reserve University are teaming to propose a standoff cardiopulmonary sensing technology to aid remote monitoring of airman and others ' physiological state of health both in the field and in the office environments. While the pulmonary sensing unit could be operated meters away, the cardio signals are picked up in closer proximity to the body.

Palm-sized unmanned aerial systems (nano UAS) weighing tens of grams have evolved to the point where they are becoming useful to the warfighter. However, their small mass, fragility, and limited batteries still necessitate the use of emerging, low mass/power technologies to meet the full range of potential missions, including new autonomous flight control and collision avoidance strategies, struct ...

The Air Force needs tunable laser systems with high average power in the mid-infrared region of the spectrum for military applications including defense against heat-seeking missiles. Currently-fielded laser systems, based on nonlinear frequency conversion in periodically poled lithium niobate (PPLN), have limited optical power at wavelengths between 4 m and 5 m because of intrinsi ...

Automated analysis of human activities and events on the ground from aerial videos is key to extracting critical situational awareness and gathering actionable intelligence. It poses multiple challenges, including dynamic backgrounds that can be confused with foreground, multiple simultaneous activities in the field of view, occurrence of unknown activities, and large data volume and velocity. The ...

High workloads and operational pressures can degrade human analysts’ cognitive performance, jeopardizing their ability to carry out mission-critical tasks. To maximize the potential of human analysts, a method is required to enhance performance across a broad array of human analysts, tasks, and contexts. Real-time evaluation of cognitive state and novel technologies for closed-loop feedback ...

Current cervical spine assessment methodologies are focused on subjective measures (i.e. pain reports) and range-of-motion (ROM) measures that only measure maximum head excursion and reach, but not dynamic motion. Due to report bias and existing incentive

From individualized training, to responsive decision-support, and improved human-machine teaming, the ability to accurately predict the cognitive state of an individual in real time would open the door for numerous technologies that would benefit the operational needs of the warfighter. Until now, much of the research using EEG for operational needs has focused on tailoring a system to detect only ...

The computing demands of future data-intensive applications far exceed the capabilities of today’s electronics and cannot be met by isolated improvements in transistor technologies or integrated circuit (IC) architectures alone. Carbon Nanotube Field-Effect Transistors (CNFET) technology has emerged as leading candidate for energy-efficient and high-performance digital systems. Unfortunatel ...