Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Interactive reading using low cost brain computer interfaces

Loizides, Fernando ORCID: https://orcid.org/0000-0003-0531-6760, Naughton, Liam, Wilson, Paul, Loizou, Michael, Yang, Shufan, Hartley, Thomas, Worrallo, Adam and Zaphiris, Panayiotis 2017. Interactive reading using low cost brain computer interfaces. Presented at: 16th IFIP TC 13 International Conference, Mumbai, India, 25- 29 September 2017. Published in: Bernhaupt, R., Dalvi, G., Joshi, A., Balkrishan, K.D., O’Neill, J. and Winckler, M. eds. Human-Computer Interaction – INTERACT 2017. Lecture Notes in Computer Science , vol.10516 Cham: Springer, pp. 450-454. 10.1007/978-3-319-68059-0_49

Full text not available from this repository.

Abstract

This work shows the feasibility for document reader user applications using a consumer grade non-invasive BCI headset. Although Brain Computer Interface (BCI) type devices are beginning to aim at the consumer level, the level at which they can actually detect brain activity is limited. There is however progress achieved in allowing for interaction between a human and a computer when this interaction is limited to around 2 actions. We employed the Emotiv Epoc, a low-priced BCI headset, to design and build a proof-of-concept document reader system that allows users to navigate the document using this low cast BCI device. Our prototype has been implemented and evaluated with 12 participants who were trained to navigate documents using signals acquired by Emotive Epoc.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: document reader, brain computer interface, document navigation
Publisher: Springer
ISBN: 978-3-319-68059-0
ISSN: 0302-9743
Last Modified: 23 Oct 2022 12:46
URI: https://orca.cardiff.ac.uk/id/eprint/108651

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item