Photoplethysmogram Based Cognitive Load Recognition Using Lstm

Author:

Zhang Xiao1ORCID,Guo Feng1ORCID,Du Jinlian1ORCID,Jin Xueyun1ORCID

Affiliation:

1. Beijing University of Technology, China

Funder

The Project of Construction and Support for high-level teaching Teams of Beijing Municipal Institutions

Publisher

ACM

Reference24 articles.

1. Aamir Arsalan , Syed Muhammad Anwar , and Muhammad Majid . 2022. Mental stress detection using data from wearable and non-wearable sensors: a review. arXiv preprint arXiv:2202.03033 ( 2022 ). Aamir Arsalan, Syed Muhammad Anwar, and Muhammad Majid. 2022. Mental stress detection using data from wearable and non-wearable sensors: a review. arXiv preprint arXiv:2202.03033 (2022).

2. Cross-validation;Berrar D;Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics,2018

3. Monitoring drivers’ mental workload in driving simulators using physiological measures

4. Roland Brünken , Susan Steinbacher , Jan  L Plass , and Detlev Leutner . 2002. Assessment of cognitive load in multimedia learning using dual-task methodology.Experimental psychology 49, 2 ( 2002 ), 109. Roland Brünken, Susan Steinbacher, Jan L Plass, and Detlev Leutner. 2002. Assessment of cognitive load in multimedia learning using dual-task methodology.Experimental psychology 49, 2 (2002), 109.

5. Francesca Gasparini , Alessandra Grossi , and Stefania Bandini . 2021. A deep learning approach to recognize cognitive load using ppg signals . In The 14th PErvasive Technologies Related to Assistive Environments Conference. 489–495. Francesca Gasparini, Alessandra Grossi, and Stefania Bandini. 2021. A deep learning approach to recognize cognitive load using ppg signals. In The 14th PErvasive Technologies Related to Assistive Environments Conference. 489–495.

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