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Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids
Joint Authors
Kalimeri, Kyriaki
Saitis, Charalampos
Parvez, Mohammad Zavid
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Reliable detection of cognitive load would benefit the design of intelligent assistive navigation aids for the visually impaired (VIP).
Ten participants with various degrees of sight loss navigated in unfamiliar indoor and outdoor environments, while their electroencephalogram (EEG) and electrodermal activity (EDA) signals were being recorded.
In this study, the cognitive load of the tasks was assessed in real time based on a modification of the well-established event-related (de)synchronization (ERD/ERS) index.
We present an in-depth analysis of the environments that mostly challenge people from certain categories of sight loss and we present an automatic classification of the perceived difficulty in each time instance, inferred from their biosignals.
Given the limited size of our sample, our findings suggest that there are significant differences across the environments for the various categories of sight loss.
Moreover, we exploit cross-modal relations predicting the cognitive load in real time inferring on features extracted from the EDA.
Such possibility paves the way for the design on less invasive, wearable assistive devices that take into consideration the well-being of the VIP.
American Psychological Association (APA)
Saitis, Charalampos& Parvez, Mohammad Zavid& Kalimeri, Kyriaki. 2018. Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216366
Modern Language Association (MLA)
Saitis, Charalampos…[et al.]. Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1216366
American Medical Association (AMA)
Saitis, Charalampos& Parvez, Mohammad Zavid& Kalimeri, Kyriaki. Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216366
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216366