A preliminary structured database for Multimodal Measurements and Elicitations of EMOtions: M2E2MO

Michela Balconi, Giulia Fronda, Giulia Fronda, Matteo Polsinelli, Giuseppe Placidi

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

Abstract

Recent studies show that emotions can be considered as different subjective processes. In this paper we describe M2E2MO, a new multimodal database including signals from electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS) and autonomic data recorded during emotions elicitation by means of different stimulations: visual-stimuli (International Affective Picture System, IAPS), interactional scripts (IS, brief interactional sketches) and memory stimulation on autobiographic basis (autobiographic memories, AM). M2E2MO has been designed to host big-data from heterogeneous sources. Although there are many databases for measuring emotions, the present study used a new measurement dataset for the recording of neurophysiological emotions pathways when they are self-generated by recalling in mind past life experiences (AM) and when external stimulations elicit them (IAPS; IS). M2E2MO will be made publicly available to allow neuroscientists a better insight into brain mechanisms to study new signal processing and classification strategies of emotional signals to be used for studying human-computer interfaces.
Lingua originaleEnglish
pagine (da-a)7-22
Numero di pagine16
RivistaNeuropsychological Trends
DOI
Stato di pubblicazionePubblicato - 2019

Keywords

  • Emotion recognition
  • Emotional memories
  • Facial expressions of emotions
  • Multimodality

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