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EEGAIN: a novel open source software framework

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Result description

Paper is submitted at arxiv:

N. Kukhilava, T. Tsmindashvili, R. Kalandadze, Anchit Gupta, S. Katamadze, F. Brémond, L. M. Ferrari, P. Müller, B. E. Wirth. Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework. 2025, https://doi.org/10.48550/arXiv.2505.18175 https://arxiv.org/abs/2505.18175.

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Current stage description

On this stage the result is theoretical , but used at the GAIN Workshop “EmoRec EEG: Generalizability of Emotion Recognition from EEG signals“ in Glasgow, on 15 September 2024, at the International Conference on Affective Computing and Intelligent Interaction (ACII) 2024. The workshop was organized by participation of Georgian students. Workshop link: https://emotionlab.github.io/EmoRec-EEG/

Result submitted to Horizon Results Platform by DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

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Value Proposition:

EEGAIN is a novel open source software framework,to compare and define state of the art results. It includes standardized methods for datapre-processing, splitting, evaluation metrics, abilityto load (AMIGOS, DEAP, DREAMER, MAHNOB-HCI, SEED, SEED-IV) in EEG-ER withonly a single line of code. It is assessed and validated using (EEGNet, DeepConvNet,ShallowConvNet, TSception).

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Adress:

TRIPPSTADTER STRASSE 122
Kaiserslautern
Rhineland-Palatinate
67663
Germany

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