Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation

标题

Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation

作者

关键词

Psychophysiological workload estimation, EEG, Electroencephalograph, LSTM, Long short-term memory, Temporal nonstationarity, Temporal dependence, Day-to-day variability, Time-series analysis, Recurrent neural network, Operator functional state assessment, Human-machine teams

出版物

PATTERN RECOGNITION LETTERS

Volume 94, Issue -, Pages 96-104

出版商

Elsevier BV

发表日期

2017-05-21

DOI

10.1016/j.patrec.2017.05.020