Published October 28, 2024 | Version v2
Dataset Restricted

NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration

  • 1. ROR icon Sapienza University of Rome
  • 2. Department of Electrical and Information Engineering, Politecnico di Bari
  • 3. Center for Music in the Brain, Department of Clinical Medicine, Aarhus University
  • 4. Department of Education, Psychology, Communication, Università degli Studi di Bari

Description

README

Link to the Publication

🔗 Read the Paper

Details related to access to the data 

Data user agreement

The terms and conditions for using this dataset are specified in the [LICENCE](LICENCE) file included in this repository. Please review these terms carefully before accessing or using the data.

Contact person

For additional information about the dataset, please contact:
- Name: Angela Lombardi
- Affiliation: Department of Electrical and Information Engineering, Politecnico di Bari
- Email: angela.lombardi@poliba.it

 Practical information to access the data

The dataset can be accessed through our dedicated web platform. To request access:

1. Visit the main dataset page at: https://sisinflab.poliba.it/neurosense-dataset-request/
2. Follow the instructions on the website to submit your access request
3. Upon approval, you will receive further instructions for downloading the data

Please ensure you have read and agreed to the terms in the data user agreement before requesting access.

Overview

EEG Emotion Recognition - Muse Headset
2023-2024

The experiment consists in 40 sessions per user. During each session, users are asked to watch a
music video with the aim to understand their emotions.  
Recordings are performed with a Muse EEG headset at a 256 Hz sampling rate.  
Channels are recorded as follows:
- Channel 0: AF7
- Channel 1: TP9
- Channel 2: TP10
- Channel 3: AF8

The chosen songs have various Last.fm tags in order to create different feelings. The title of every track
can be found in the "TaskName" field of sub-ID***_ses-S***_task-Default_run-001_eeg.json, while the author,
the Last.fm tag and additional information in "TaskDescription".

Methods

Subjects

The subject pool is made of 30 college students, aged between 18 and 35. 16 of them are males, 14 females.

Apparatus

The experiment was performed using the same procedures as those to create
[Deap Dataset](https://www.eecs.qmul.ac.uk/mmv/datasets/deap/), which is a dataset to recognize emotions via a Brain
Computer Interface (BCI).  


Task organization

Firstly, music videos were selected. Once 40 songs were picked, the protocol was chosen and the self-assessment
questionnaire was created.

Task details

In order to evaluate the stimulus, Russell's VAD (Valence-Arousal-Dominance) scale was used.  
In this scale, valenza-arousal space can be divided in four quadrants:
- Low Arousal/Low Valence (LALV);
- Low Arousal/High Valence (LAHV);
- High Arousal/Low Valence (HALV);
- High Arousal/High Valence (HAHV).

Experimental location

The experiment was performed in a laboratory located at DEI Department of
[Politecnico di Bari](https://www.poliba.it/).

Missing data


Data recorded during session S019 - Session 2, ID021 - Session 23,  user was corrupted, therefore is missing.  
Sessions S033 and S038 of ID015 user show a calculated effective sampling rate lower than 256 Hz:
- ID015_ses-S033 has 226.1320 Hz
- ID015_ses-S038 has 216.9549 Hz

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

**NeuroSense Data Use Agreement**

**Date of Publication:** 28/10/2024

**Date of Current Version:** 1.0

**Digital Object Identifier (DOI):** 10.1109/ACCESS.2024.3487932

**Dataset Title:** NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration

**Principal Investigators:**
 Tommaso Colafiglio¹², Angela Lombardi², Paolo Sorino², Elvira Brattico³⁴, Domenico Lofù², Danilo Danese², Eugenio Di Sciascio², Tommaso Di Noia², and Fedelucio Narducci²

1 Department of Computer, Control, and Management Engineering (DIAG), Sapienza University of Rome, Rome, RM, 00185, Italy
2 Department of Electrical and Information Engineering, Politecnico di Bari, Bari, BA, 70125, Italy
3 Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, 8000 Aarhus C, Denmark
4 Department of Education, Psychology, Communication, Università degli Studi di Bari, Bari, BA, 70122, Italy

Corresponding author: Angela Lombardi (e-mail: [angela.lombardi@poliba.it](mailto:angela.lombardi@poliba.it)).

---

### 1. Introduction

The **NeuroSense** dataset is a collection of electroencephalography (EEG) signals gathered using the portable Muse 2 device with 4 sparse electrodes. This dataset aims to facilitate 
research in emotion recognition, human-computer interaction, mental health monitoring, and related fields. By accessing the NeuroSense dataset, users agree to comply with the terms outlined in this Data Use Agreement (DUA).

### 2. Prohibited Use of EEG Data

**a. Re-identification and Participant Privacy**

- Users are strictly prohibited from attempting to re-identify participants through the NeuroSense EEG data. This includes, but is not limited to, combining NeuroSense data with other datasets or external information that could potentially be used to identify individual participants.
- Users must ensure that EEG data is used solely for the purposes outlined in this agreement and not for any activities that could compromise the anonymity or privacy of the participants.

**b. Data Security and Handling**

- Users must implement appropriate security measures to protect the NeuroSense EEG data from unauthorized access, disclosure, alteration, or destruction.
- EEG data should be stored securely, and access should be limited to authorized personnel involved in the approved research activities.

**c. Prohibited Derivative Works**

- Users are prohibited from creating or using derivative works derived from the NeuroSense EEG data that could potentially reveal identifiable information about participants.
- This includes transforming or analyzing the EEG data in ways that might lead to the extraction of sensitive information or patterns unique to individual participants.

**d. No Distribution or Sharing**

- Users must not distribute, share, or otherwise make the NeuroSense EEG data available to third parties unless explicitly authorized under this agreement.
- Any sharing of data within a research team must ensure that all team members are aware of and comply with the terms of this Data Use Agreement.

**e. Ethical Use of Data**

- Users must adhere to all applicable laws, regulations, and ethical guidelines governing the use of EEG data in research.
- Any use of the EEG data outside the scope of this agreement requires prior written consent from the NeuroSense administrative team.

### 3. Privacy and Confidentiality

**a. Non-Identification**

- Users will not use the NeuroSense dataset, either alone or in combination with other data, to identify or contact individuals who participated in the data collection.
- If a user inadvertently obtains identifiable information or identifies a participant, they must promptly notify the NeuroSense administrators and follow their written instructions, which may include returning or destroying the identifiable information.

### 4. Data Access and Disclosure

**a. Permitted Use**

- The NeuroSense dataset is to be used solely for research purposes as outlined in the study description. Any other use is prohibited unless explicitly authorized.

**b. Prohibited Use**

- Users will not use or further disclose the NeuroSense dataset beyond the permissions granted in this agreement.
- Users will not create or disseminate derivative works or data that could be used to reconstruct identifiable information about participants.

**c. Reporting Unauthorized Use**

- Users must report any unauthorized use or disclosure of the NeuroSense dataset promptly. The report should include:
    1. The nature of the unauthorized use or disclosure.
    2. The specific information that was used or disclosed.
    3. The identities of the individuals or entities responsible.
    4. Corrective actions taken to mitigate the impact.

**d. Mitigation Efforts**

- Users must take all reasonable actions to mitigate any detrimental effects resulting from unauthorized use or disclosure.

### 5. Acknowledgment and Citation

**a. Acknowledgment in Publications and Presentations**

- When publicly presenting results, algorithms, or findings derived from the NeuroSense dataset, users must acknowledge the use of NeuroSense data as follows:
    
    **Acknowledgments Section:**
    
    "Data were provided [in part] by the NeuroSense dataset.
    

**b. Citation Requirements**

- Users must cite the NeuroSense dataset appropriately in all publications and presentations. Please use the following citation format:
    
    **Reference Citation:**
    
    - For the most up-to-date references and citation formats, please visit [https://sisinflab.poliba.it/neurosense-dataset-request/](https://sisinflab.poliba.it/neurosense-dataset-request/)
    
    Colafiglio, T., Lombardi, A., Sorino, P., Brattico, E., Lofù, D., Danese, D., Di Sciascio, E., Di Noia, T., & Narducci, F. (2024). NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration. *IEEE Access*. [**Link to the Publication**](https://ieeexplore.ieee.org/document/10737340)


> @ARTICLE{10737340,
>   author={Colafiglio, Tommaso and Lombardi, Angela and Sorino, Paolo and Brattico, Elvira and Lofù, Domenico and Danese, Danilo and Sciascio, Eugenio Di and Noia, Tommaso Di and Narducci, Fedelucio},
>   journal={IEEE Access}, 
>   title={NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration}, 
>   year={2024},
>   volume={},
>   number={},
>   pages={1-1},
>   keywords={Videos;Electroencephalography;Feature extraction;Electrodes;Color;Physiology;Brain modeling;Emotion recognition;Protocols;Data mining;Emotion Recognition;EEG Dataset;Low-Cost EEG Devices;Machine Learning;Human-Computer Interaction;Russell’s Model},
>   doi={10.1109/ACCESS.2024.3487932}}
> }
    

### 6. User Obligations

**a. Reporting Usage**

- Users agree to provide the NeuroSense administrators with information regarding their use of the NeuroSense dataset upon request. This includes details about the nature of the research, methodologies employed, and any publications resulting from the dataset.

**b. Compliance**

- Failure to comply with the terms outlined in this DUA may result in the termination of the user's access rights to the NeuroSense dataset.

### 8. Termination

- Violation of any terms of this agreement may result in the immediate termination of the user's rights to access and use the NeuroSense dataset. In the event of termination, the user must destroy any copies of the dataset in their possession.

### 9. Agreement

- By submitting a request to access the NeuroSense dataset, you agree to abide by the terms and conditions of this Data Use Agreement.

---

**Contact Information:**

For any questions or concerns regarding this Data Use Agreement, please contact:

- **Name:** Angela Lombardi
- **Institution:** Department of Electrical and Information Engineering, Politecnico di Bari.
- **Email:** [angela.lombardi@poliba.it](mailto:angela.lombardi@poliba.it)
- **Personal Website:** [https://sisinflab.poliba.it/people/angela-lombardi/](https://sisinflab.poliba.it/people/angela-lombardi/)
- **Dataset Website:** [https://sisinflab.poliba.it/neurosense-dataset-request/](https://sisinflab.poliba.it/neurosense-dataset-request/)

---

**Effective Date:**

This agreement is effective as of 28/10/2024

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Additional details

Dates

Accepted
2024-10-28