Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8690
Main Title: Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids
Author(s): Saitis, Charalampos
Parvez, Mohammad Zavid
Kalimeri, Kyriaki
Type: Article
Language Code: en
Abstract: 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.
URI: https://depositonce.tu-berlin.de/handle/11303/9644
http://dx.doi.org/10.14279/depositonce-8690
Issue Date: 28-Feb-2018
Date Available: 19-Jul-2019
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): visually impaired
framework
mobility aid
indoor
outdoor
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Wireless Communications and Mobile Computing
Publisher: Hindawi
Publisher Place: London
Volume: 2018
Article Number: 8971206
Publisher DOI: 10.1155/2018/8971206
EISSN: 1530-8677
Appears in Collections:FG Audiokommunikation » Publications

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