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Multimodal Classification of Cognitive Workload Using Eye-Tracking, ECG, and Head Motion Data in Simulated Military Missions

2025-08-27

Abstract excerpt

<title>Abstract</title> <p>Accurately assessing cognitive workload is critical in military operations, where decisions must be made under pressure in complex and dynamic environments. This study presents multimodal machine learning approaches for classifying workload into three levels: low, moderate, and high. Synchronized electrocardiogram (ECG), eye-tracking, and head movement signals from inertial measurement...

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Literature Corpus work
3e30e434-00de-5c99-add5-09aa16735908
DOI
10.21203/rs.3.rs-7285350/v1
Open publication

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Multimodal Classification of Cognitive Workload Using Eye-Tracking, ECG, and Head Motion Data in Simulated Military MissionsDOI 10.21203/rs.3.rs-7285350/v1
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