The approach presented here can be implemented in real-world cockpits for near instantaneous performance monitoring and could also be extended beyond this�...
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This paper demonstrates an efficient deep learning approach by adapting MINIROCKET to eye tracking and electrodermal activity data for flight performance�...
Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis ; Patrick W. Moore ; Hrishikesh M. Rao ; Christine Beauchene.
Abstract—With the proliferation of wearable sensors for physiological and cognitive monitoring, a large amount of time series data needs to be processed and�...
Discover more about: Deep Learning. Conference Paper. Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis.
Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis. PW Moore, HM Rao, C Beauchene, E Cowen, S Yuditskaya, T�...
This study introduces an innovative approach employing flight data, machine learning, and Continuous Performance Test (CPT) metrics to predict pilot�...
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Jul 23, 2024 � Evaluation of a novel wearable EEG/EOG sensor for real-time operator state monitoring (USAARL-TECH-TR--2024-20).U.S. Army Aeromedical�...
Jun 10, 2024 � In this work, we conduct a user study to collect multimodal data from pilots while they perform a variety of VTOL flight tasks.
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Sep 27, 2024 � through advanced methods such as deep learning and big data analysis and has solved many complex problems. In the modern war, the�...