# Exploring the correlation between the type of music and the emotions evoked: A study using subjective questionnaires and EEG

arXiv: https://arxiv.org/abs/2510.26304 · HTML: https://mlsanity.com/paper/2510.26304/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 22 references that are in the map.
- First posted on arXiv 30 Oct 2025.

## Builds on (most cited first, 2 of 2)

- [EEG based Emotion Recognition: A Tutorial and Review](https://mlsanity.com/paper/2203.11279/) (2022)
- [Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset](https://mlsanity.com/paper/2210.13876/) (2022)

## Abstract (arXiv)

The subject of this work is to check how different types of music affect human emotions. While listening to music, a subjective survey and brain activity measurements were carried out using an EEG helmet. The aim is to demonstrate the impact of different music genres on emotions. The research involved a diverse group of participants of different gender and musical preferences. This had the effect of capturing a wide range of emotional responses to music. After the experiment, a relationship analysis of the respondents' questionnaires with EEG signals was performed. The analysis revealed connections between emotions and observed brain activity.