A Physiological Signal Database to Study the Influence of Music-Induced Emotions in the Autonomic Nervous System

Abstract

A synchronized multimodal physiological framework is proposed for studying music-induced emotions. The objective is to design an experimental protocol for affective computing and emotion recognition research. Electrocardiogram (ECG), electrodermal activity (EDA), respiration, and photoplethysmography (PPG) from 50 participants are recorded with Pick-A-Mood (PAM) annotations. Results reveal autonomic differences across emotional states.