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SBIR/STTR

Non-intrusive Hazardous Pilot Cognitive State Assessment via Semi-Supervised Deep Learning: CSA-Deep, Phase I

Completed Technology Project

Project Introduction

Non-intrusive Hazardous Pilot Cognitive State Assessment via Semi-Supervised Deep Learning: CSA-Deep, Phase I
In aviation history, many crew-related errors are caused by crew members being in hazardous cognitive states, such as overstress, disengagement, high fatigue, and ineffective crew coordination. To improve aviation safety, it is critical to monitor and predict hazardous cognitive states of crew members in a non-intrusive manner for designing mitigation strategies. More »

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This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

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