Towards EEG-based BCI driven by emotions for addressing BCI-Illiteracy: a meta-analytic review

Author:

Spezialetti M.1ORCID,Cinque L.2ORCID,Tavares João Manuel R. S.3ORCID,Placidi G.1ORCID

Affiliation:

1. A2VILab, Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy

2. Department of Computer Science, Sapienza University, Rome, Italy

3. Instituto de Ciencia e Inovacao em Engenharia Mecanica e Engenharia Industrial, Departamento de Engenharia Mecanica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

Funder

SciTech – Science and Technology for Competitive and Sustainable Industries

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

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1. MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking;Sensors;2024-08-11

2. The influence of paradigm interface guided by different visual types on MI-BCI performance;Behaviour & Information Technology;2024-02-02

3. A case for hybrid BCIs: combining optical and electrical modalities improves accuracy;Frontiers in Human Neuroscience;2023-06-07

4. Graph model of phase lag index for connectivity analysis in EEG of emotions;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06

5. A 4D LSTM network for emotion recognition from the cross-correlation of the power spectral density of EEG signals;2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2022-11

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