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.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Workshop
Refereed:
Yes
Uncontrolled Keywords:
Brain-computer Interface; Information Retrieval; Signal Processing; Machine Learning