Identifying at-risk workers using fNIRS-based mental load classification: A mixed reality study

Author:

Pooladvand Shiva,Chang Woei-Chyi,Hasanzadeh Sogand

Funder

National Science Foundation

Publisher

Elsevier BV

Reference75 articles.

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2. Multiple resources and mental workload;Wickens;Hum. Factors,2008

3. Neurophysiological evaluation of workers’ decision dynamics under time pressure and increased mental demand;Pooladvand;Autom. Constr.,2022

4. Mental Workload: Its Theory and Measurement;Moray,1979

5. Unsupervised Approach for Measurement of Cognitive Load Using EEG Signals, 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013;Das,2013

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