Towards emotion related feature extraction based on generalized source-independent event detection

Rui Mirra Santos, Joana Sousa, Carlos J. Marques, Hugo Gamboa, Hugo G. Silva

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Emotion recognition is of major importance towards the acceptability of Human-Computer Interaction systems, and several approaches to emotion classification using features extracted from biosignals have already been developed. This analysis is, in general, performed on a signal-specific basis, and can bring a significant complexity to those systems. In this paper we propose a signal-independent approach on marking specific signal events. In this preliminary study, the developed algorithm was applied on ECG and EMG signals. Based on a morphological analysis of the signal, the algorithm allows the detection of significant events within those signals. The performance of our algorithm proved to be comparable with that achieved by signal-specific processing techniques on events detection. Since no previous knowledge or signal-specific pre-processing steps are required, the presented approach is particularly interesting for automatic feature extraction in the context of emotion recognition systems.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Workshop on Computing Paradigms for Mental Health, MindCare 2012, in Conjunction with BIOSTEC 2012
Pages71-78
Number of pages8
Publication statusPublished - 2012
Event2nd International Workshop on Computing Paradigms for Mental Health, MindCare 2012, in Conjunction with BIOSTEC 2012 - Vilamoura, Algarve, Portugal
Duration: 1 Feb 20124 Feb 2012

Conference

Conference2nd International Workshop on Computing Paradigms for Mental Health, MindCare 2012, in Conjunction with BIOSTEC 2012
CountryPortugal
CityVilamoura, Algarve
Period1/02/124/02/12

Keywords

  • Pre-processing step
  • Processing technique
  • Automatic feature extraction
  • Biosignals
  • EMG signal
  • Emotion classification
  • Emotion recognition
  • Event detection
  • Events detection
  • Human-computer interaction system
  • Morphological analysis

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