Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks-Reference-Cited by-同舟云学术

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks

Published:2019-11-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Halfway to the Future Symposium 2019
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Author:

Benerradi Johann¹,A. Maior Horia²,Marinescu Adrian²,Clos Jeremie²,L. Wilson Max²

Affiliation:

1. Université de Lorraine

2. University of Nottingham

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3363384.3363392

Reference49 articles.

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3. Towards Robust Neuroadaptive HCI

4. Hasan Ayaz and Banu Onaral. 2005. Analytical software and stimulus-presentation platform to utilize visualize and analyze near-infrared spectroscopy measures. Drexel University. Hasan Ayaz and Banu Onaral. 2005. Analytical software and stimulus-presentation platform to utilize visualize and analyze near-infrared spectroscopy measures. Drexel University.

5. Jackson Beatty. 1982. Task-evoked pupillary responses processing load and the structure of processing resources.Psychological bulletin 91 2 (1982) 276. Jackson Beatty. 1982. Task-evoked pupillary responses processing load and the structure of processing resources.Psychological bulletin 91 2 (1982) 276.

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