Constarium
← Search

Archive · dataset · 2025

EEG Database for language detection.

Listed in RIUMA

This database is made up of EEG signals from 6 subjects listening to sentences in different languages and their answers to the questions: have you understood the meaning of the sentence?.

Description

The languages chosen are: english, german, italian, korean and spanish. These signals have been captured with the BrainVision actiCHAMP-PLUS system and consist of a total of 64 EEG channels.

The BrainVision Recorder software was used to store the signals. The stimulus presentation software used to design the experiment is Eprime 3. For more detailed information on this database, the capture system used and its applications, see [1].

Read the rest (1 more)

If these data are used for any publication, the following paper must be cited: [1] Isaac Ariza, Ana M. Barbancho, Lorenzo J. Tardón, Isabel Barbancho, Energy-based features and bi-LSTM neural network for EEG-based music and voice classification. Neural Comput & Applic 36, 791–802 (2024). doi.org/10.1007/s00521-023-09061-3

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
RIUMAoai:riuma.uma.es:10630/369547 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · riuma uma esconnector:riuma_uma_es@1.0.0
concepts[field].local:field:earth-environmentalmapping · riuma uma esconnector:riuma_uma_es@1.0.0
concepts[field].local:field:humanitiesmapping · riuma uma esconnector:riuma_uma_es@1.0.0
descriptionsource · riuma uma esconnector:riuma_uma_es@1.0.0/metadata/dc/description
licensesource · riuma uma esconnector:riuma_uma_es@1.0.0/metadata/dc/rights
publication_datesource · riuma uma esconnector:riuma_uma_es@1.0.0
titlesource · riuma uma esconnector:riuma_uma_es@1.0.0/metadata/dc/title