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.

1. Dynamic difficulty using brain metrics of workload

2. Sangtae Ahn Thien Nguyen Hyojung Jang Jae G Kim and Sung C Jun. 2016. Exploring neuro-physiological correlates of drivers’ mental fatigue caused by sleep deprivation using simultaneous EEG ECG and fNIRS data. Frontiers in human neuroscience 10 (2016) 219. Sangtae Ahn Thien Nguyen Hyojung Jang Jae G Kim and Sung C Jun. 2016. Exploring neuro-physiological correlates of drivers’ mental fatigue caused by sleep deprivation using simultaneous EEG ECG and fNIRS data. Frontiers in human neuroscience 10 (2016) 219.

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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