Healy, Graham ORCID: 0000-0001-6429-6339, Wang, Zhengwei
ORCID: 0000-0001-7706-553X, Gurrin, Cathal
ORCID: 0000-0003-2903-3968, Ward, Tomás E.
ORCID: 0000-0002-6173-6607 and Smeaton, Alan F.
ORCID: 0000-0003-1028-8389
(2017)
An EEG Image-search dataset: a first-of-its-kind in IR/IIR. NAILS: neurally augmented image labelling strategies.
In: NeuroIIR 2017 - CHIIR Workshop on Challenges in Bringing Neuroscience to Research in Human-Information Interaction, 11 Mar 2017, Oslo, Noway.
In this work we emphasize the need for and we describe a first- of-its-kind RSVP (Rapid Serial Visual Presentation) - EEG (Elec- troencephalography) dataset to be released as part of the NTCIR-13 NAILS (Neurally Augmented Image Labelling Strategies) task at the NTCIR-13 participation conference. The dataset is used to support a collaborative evaluation task in which participating researchers benchmark machine-learning strategies against each other. The experimental protocol used to capture the dataset is designed to encompass a broad range of image search activities and coincident neural signals. Here, we outline the experimental protocol used to capture the dataset alongside discussing the motivation behind its construction.
Item Type: | Conference or Workshop Item (Paper) |
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Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | Brain-computer Interface; Information Retrieval; Signal Processing; Machine Learning |
Subjects: | Computer Science > Machine learning Biological Sciences > Neuroscience Humanities > Biological Sciences > Neuroscience Computer Science > Artificial intelligence Engineering > Biomedical engineering Computer Science > Information retrieval |
DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | 2017 CHIIR Workshop on Challenges in Bringing Neuroscience to Research in Human-Information Interaction. 1(1). |
Official URL: | https://docs.google.com/a/dcu.ie/viewer?a=v&pid=si... |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland SFI/12/RC/2289 |
ID Code: | 21757 |
Deposited On: | 29 Mar 2017 10:49 by Graham Healy . Last Modified 07 Jan 2019 10:11 |
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