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Zhao et al., 2018 - Google Patents

Real-time assessment of the cross-task mental workload using physiological measures during anomaly detection

Zhao et al., 2018

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Document ID
13305011049331883701
Author
Zhao G
Liu Y
Shi Y
Publication year
Publication venue
IEEE Transactions on Human-Machine Systems

External Links

Snippet

The ability to detect anomalies in perceived stimuli is critical to a broad range of practical and applied activities involving human operators. In this paper, we propose a real-time physiological-based system to assess the cross-task mental workload during anomaly …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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