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EEG data recorded during spoken and imagined speech interaction with a simulated robot

Bibliographic Details
Title: EEG data recorded during spoken and imagined speech interaction with a simulated robot
Authors: Rekrut, Maurice, Mohamed Selim, Abdulrahman
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Brain-Computer Interfaces/classification, Brain Computer Interface, Electroencephalography, Electroencephalography/classification, Speech Imagery, Imagined Speech, Overt Speech
Description: Dataset Description This dataset consists of Electroencephalography (EEG) data recorded from 15 healthy subjects with a 64-channel EEG headset during spoken and imagined speech interaction with a simulated robot. Citation The dataset recording and study setup are described in detail in the following publication: Rekrut, M., Selim, A. M., & Krüger, A. (2022, October). Improving Silent Speech BCI Training Procedures Through Transfer from Overt to Silent Speech. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2650-2656). IEEE. If you use this dataset, please consider citing this work. Study Design Participants were seated in a chair and controlled the simulated robot on a screen in a game-like setup through a maze. They were presented with a birds-view of the robots’ surroundings with the robot in the middle. Participants had to decide about its next step and interact for one part of the study via overt and in the second part via imagined speech. The interaction consisted of moving the robot in 3 different directions resulting in the command words ”left”, ”right” and ”up” and picking up screws and pushing boxes out of the way by the words ”pick” and ”push”. Whenever the user had made a decision about the next command they could press the spacebar to indicate the desire for interaction. After the spacebar was pressed, the screen turned black for 2 seconds to give the participant time to prepare the input. After the 2 seconds, a fixation cross appeared, which indicated to start speaking or producing imagined speech of the desired command, depending on the current condition. After 2 seconds, the fixation cross disappeared, and the few switched back to the robot with its updated position. Our participants were advised to speak the word out loud once during the overt condition and, in the imagined speech part, to repeat the word once silently in their head, just like reading it to themselves, without any movement of the articulatory muscles. The input of the user did not have any ...
Document Type: dataset
Language: English
Relation: https://zenodo.org/records/15516012; oai:zenodo.org:15516012; https://doi.org/10.5281/zenodo.15516012
DOI: 10.5281/zenodo.15516012
Availability: https://doi.org/10.5281/zenodo.15516012
https://zenodo.org/records/15516012
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.B8371741
Database: BASE
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IllustrationInfo
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  Data: EEG data recorded during spoken and imagined speech interaction with a simulated robot
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  Data: <searchLink fieldCode="AR" term="%22Rekrut%2C+Maurice%22">Rekrut, Maurice</searchLink><br /><searchLink fieldCode="AR" term="%22Mohamed+Selim%2C+Abdulrahman%22">Mohamed Selim, Abdulrahman</searchLink>
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  Data: 2025
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  Data: Dataset Description This dataset consists of Electroencephalography (EEG) data recorded from 15 healthy subjects with a 64-channel EEG headset during spoken and imagined speech interaction with a simulated robot. Citation The dataset recording and study setup are described in detail in the following publication: Rekrut, M., Selim, A. M., & Krüger, A. (2022, October). Improving Silent Speech BCI Training Procedures Through Transfer from Overt to Silent Speech. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 2650-2656). IEEE. If you use this dataset, please consider citing this work. Study Design Participants were seated in a chair and controlled the simulated robot on a screen in a game-like setup through a maze. They were presented with a birds-view of the robots’ surroundings with the robot in the middle. Participants had to decide about its next step and interact for one part of the study via overt and in the second part via imagined speech. The interaction consisted of moving the robot in 3 different directions resulting in the command words ”left”, ”right” and ”up” and picking up screws and pushing boxes out of the way by the words ”pick” and ”push”. Whenever the user had made a decision about the next command they could press the spacebar to indicate the desire for interaction. After the spacebar was pressed, the screen turned black for 2 seconds to give the participant time to prepare the input. After the 2 seconds, a fixation cross appeared, which indicated to start speaking or producing imagined speech of the desired command, depending on the current condition. After 2 seconds, the fixation cross disappeared, and the few switched back to the robot with its updated position. Our participants were advised to speak the word out loud once during the overt condition and, in the imagined speech part, to repeat the word once silently in their head, just like reading it to themselves, without any movement of the articulatory muscles. The input of the user did not have any ...
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  Data: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
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        Value: 10.5281/zenodo.15516012
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Brain-Computer Interfaces/classification
        Type: general
      – SubjectFull: Brain Computer Interface
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      – SubjectFull: Electroencephalography
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      – SubjectFull: Electroencephalography/classification
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      – SubjectFull: Speech Imagery
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      – SubjectFull: Imagined Speech
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      – SubjectFull: Overt Speech
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      – TitleFull: EEG data recorded during spoken and imagined speech interaction with a simulated robot
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            NameFull: Rekrut, Maurice
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            NameFull: Mohamed Selim, Abdulrahman
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              Y: 2025
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