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An EEG Image-search dataset: a first-of-its-kind in IR/IIR. NAILS: neurally augmented image labelling strategies

Healy, Graham and Wang, Zhengwei and Gurrin, Cathal and Ward, Tomás E. and Smeaton, Alan F. (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.

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Abstract

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)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Brain-computer Interface; Information Retrieval; Signal Processing; Machine Learning
Subjects:Computer Science > Machine learning
Biological Sciences > Neuroscience
Computer Science > Artificial intelligence
Engineering > Biomedical engineering
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives 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=sites&srcid=ZGVmYXVsdGRvbWFpbnxuZXVyb2lpcjIwMTd8Z3g6N2E0YjRkNDkxMjhkNDk0YQ
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 11:49 by Graham Healy. Last Modified 06 Sep 2017 13:14

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