Handover Intention Dataset: Dataset of EEG brain signals, Gaze, and Hand Motion for detecting human intention of handovers in human-to-robot handovers.
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| Autores principales: | , |
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| Formato: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901884903620608 |
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| author | Khanna, Parag Rajabi, Nona |
| author_facet | Khanna, Parag Rajabi, Nona |
| contents | <p>This data was collected as part of a project studying detecting the human intention for object handover to robots. Human gaze, hand motion trajectory, and brain activity were simultaneously recorded from human participants while performing different motor tasks close to a robot.</p> <h3>Description of the data and file structure</h3> <p>Data is structured in three main folders: (1) eeg_data, (2) gaze_data, and (3) motion_data containing data files corresponding to EEG, gaze, and hand motion trajectories, respectively.</p> <p><strong>"eeg_data"</strong> contains .vhdr, .eeg, and .vmrk files corresponding to raw EEG recordings of 15 participants in the BrainVision format.</p> <p><strong>"gaze_data"</strong> includes 14 directories (corresponding to 15 participants excluding number 13), each containing at most 90 subdirectories corresponding to available trials out of a total of 90 trials of the experiment. Each of these folders contains 3 .csv files:</p> <ul> <li>gaze_X.csv: The X coordinates of the 2-D gaze locations from 5 seconds before the <em>Go!</em> signal to 11 sec after the <em>Go!</em> signal.</li> <li>gaze_Y.csv: The Y coordinates of the 2-D gaze location.</li> <li>type.csv: the label of the trial (handover, joint, and solo).</li> </ul> <p><strong>"motion_data"</strong> includes 13 directories (corresponding to 15 participants excluding 13 and 14) each containing at most 90 subdirectories. Each of the subdirectories contains 8 .csv file:</p> <ul> <li>rotation_x.csv: The X component of the Quaternion representation of the robot's arm's 3-D rotation from 5 seconds before the <em>Go!</em> signal to 11 sec after the <em>Go!</em> signal.</li> <li>rotation_y.csv: The Y component of the Quaternion representation of the robot's arm's 3-D rotation.</li> <li>rotation_z.csv: The Z component of the Quaternion representation of the robot's arm's 3-D rotation.</li> <li>rotation_w.csv: The W component of the Quaternion representation of the robot's arm's 3-D rotation.</li> <li>translation_x.csv: The X coordinates of the 3-D location of the right hand.</li> <li>translation_y.csv: The Y coordinates of the 3-D location of the right hand.</li> <li>translation_z.csv: The Z coordinates of the 3-D locations of the right hand.</li> <li>type.csv: the label of the trial (handover, joint, and solo).</li> </ul> <p>A fourth folder called <strong>"stim"</strong> contains a file called "trials.txt" which contains the labels (motion types) for the trials in the order they were shown. </p> <h3>Code/Software</h3> <p>All codes to use the data are provided in the project's <a href="https://github.com/NonaRjb/Human-to-Robot-Handover-Detection.git">GitHub repository</a>.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14876712 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Handover Intention Dataset: Dataset of EEG brain signals, Gaze, and Hand Motion for detecting human intention of handovers in human-to-robot handovers. Khanna, Parag Rajabi, Nona <p>This data was collected as part of a project studying detecting the human intention for object handover to robots. Human gaze, hand motion trajectory, and brain activity were simultaneously recorded from human participants while performing different motor tasks close to a robot.</p> <h3>Description of the data and file structure</h3> <p>Data is structured in three main folders: (1) eeg_data, (2) gaze_data, and (3) motion_data containing data files corresponding to EEG, gaze, and hand motion trajectories, respectively.</p> <p><strong>"eeg_data"</strong> contains .vhdr, .eeg, and .vmrk files corresponding to raw EEG recordings of 15 participants in the BrainVision format.</p> <p><strong>"gaze_data"</strong> includes 14 directories (corresponding to 15 participants excluding number 13), each containing at most 90 subdirectories corresponding to available trials out of a total of 90 trials of the experiment. Each of these folders contains 3 .csv files:</p> <ul> <li>gaze_X.csv: The X coordinates of the 2-D gaze locations from 5 seconds before the <em>Go!</em> signal to 11 sec after the <em>Go!</em> signal.</li> <li>gaze_Y.csv: The Y coordinates of the 2-D gaze location.</li> <li>type.csv: the label of the trial (handover, joint, and solo).</li> </ul> <p><strong>"motion_data"</strong> includes 13 directories (corresponding to 15 participants excluding 13 and 14) each containing at most 90 subdirectories. Each of the subdirectories contains 8 .csv file:</p> <ul> <li>rotation_x.csv: The X component of the Quaternion representation of the robot's arm's 3-D rotation from 5 seconds before the <em>Go!</em> signal to 11 sec after the <em>Go!</em> signal.</li> <li>rotation_y.csv: The Y component of the Quaternion representation of the robot's arm's 3-D rotation.</li> <li>rotation_z.csv: The Z component of the Quaternion representation of the robot's arm's 3-D rotation.</li> <li>rotation_w.csv: The W component of the Quaternion representation of the robot's arm's 3-D rotation.</li> <li>translation_x.csv: The X coordinates of the 3-D location of the right hand.</li> <li>translation_y.csv: The Y coordinates of the 3-D location of the right hand.</li> <li>translation_z.csv: The Z coordinates of the 3-D locations of the right hand.</li> <li>type.csv: the label of the trial (handover, joint, and solo).</li> </ul> <p>A fourth folder called <strong>"stim"</strong> contains a file called "trials.txt" which contains the labels (motion types) for the trials in the order they were shown. </p> <h3>Code/Software</h3> <p>All codes to use the data are provided in the project's <a href="https://github.com/NonaRjb/Human-to-Robot-Handover-Detection.git">GitHub repository</a>.</p> |
| title | Handover Intention Dataset: Dataset of EEG brain signals, Gaze, and Hand Motion for detecting human intention of handovers in human-to-robot handovers. |
| url | https://doi.org/10.5281/zenodo.14876712 |