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Time‑varying EEG survival modeling predicts aviation crash risk in simulated flight

2026-08-12

Abstract excerpt

<title>Abstract</title> <p>Human error in aviation often reflects latent fluctuations in attention and workload that are not captured by conventional performance measures. Practical operator-state monitoring requires physiologically grounded markers that are interpretable and suitable for real-time use. We present a proof-of-concept pipeline that links global EEG “engagement indices” to a continually updated cras...

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Literature Corpus work
12af7cb7-e00a-5588-8519-5e8d25d3783f
DOI
10.21203/rs.3.rs-10616804/v1
Open publication

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Time‑varying EEG survival modeling predicts aviation crash risk in simulated flightDOI 10.21203/rs.3.rs-10616804/v1
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