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Experiences and insights from the collection of a novel multimedia EEG dataset
Healy, Graham; Wang, Zhengwei; Ward, Tomás E.; Smeaton, Alan F.; Gurrin, Cathal
There is a growing interest in utilising novel signal sources such as EEG (Electroencephalography) in multimedia research. When using such signals, subtle limitations are often not readily apparent without significant domain expertise. Multimedia research outputs incorporating EEG signals can fail to be replicated when only minor modifications have been made to an experiment or seemingly unimportant (or unstated) details are changed. This can lead to overoptimistic or overpessimistic viewpoints on the potential real-world utility of these signals in multimedia research activities. This paper describes an EEG/MM dataset and presents a summary of distilled experiences and knowledge gained during the preparation (and utilisiation) of the dataset that supported a collaborative neural-image labelling benchmarking task. The goal of this task was to collaboratively identify machine learning approaches that would support the use of EEG signals in areas such as image labelling and multimedia modeling or retrieval. The contributions of this paper can be listed thus; a template experimental paradigm is proposed (along with datasets and a baseline system) upon which researchers can explore multimedia image labelling using a brain-computer interface, learnings regarding commonly encountered issues (and useful signals) when conducting research that utilises EEG in multimedia contexts are provided, and finally insights are shared on how an EEG dataset was used to support a collaborative neural-image labelling benchmarking task and the valuable experiences gained.
Keyword(s): Neuroscience; Information retrieval; Machine learning; Brain-computer Interface; Electroencephalography; RSVP
Publication Date:
2019
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Healy, Graham ORCID: 0000-0001-6429-6339 <https://orcid.org/0000-0001-6429-6339>, Wang, Zhengwei ORCID: 0000-0001-7706-553X <https://orcid.org/0000-0001-7706-553X>, Ward, Tomás E. ORCID: 0000-0002-6173-6607 <https://orcid.org/0000-0002-6173-6607>, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> and Gurrin, Cathal ORCID: 0000-0003-2903-3968 <https://orcid.org/0000-0003-2903-3968> (2019) Experiences and insights from the collection of a novel multimedia EEG dataset. In: 26th International Conference on Multimedia Modeling (MMM2020), 5-8 Jan 2020, Daejeon, Korea (Republic of). ISBN 978-3-030-37733-5
Publisher(s): Springer, Cham
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/24649/1/mmm_MDRE%20final.pdf,
http://dx.doi.org/10.1007/978-3-030-37734-2_39
First Indexed: 2020-06-19 06:55:03 Last Updated: 2020-06-19 06:55:03