A novel EDA glove based on textile-integrated electrodes for affective computing.

This paper reports on performance evaluation of a preliminary system prototype based on a fabric glove, with integrated textile electrodes placed at the fingertips, able to acquire and process the electrodermal response (EDR) to discriminate affective states. First, textile electrodes have been char...

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Publicado en:Medical & Biological Engineering & Computing Vol. 50; no. 11; pp. 1163 - 1173
Autores principales: Lanatà A, Valenza G, Scilingo EP, Lanatà, Antonio, Valenza, Gaetano, Scilingo, Enzo Pasquale
Formato: research Journal Article
Publicado: Springer Nature Nov2012
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A novel EDA glove based on textile-integrated electrodes for affective computing.
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          Lanatà A
          Valenza G
          Scilingo EP
          Lanatà, Antonio
          Valenza, Gaetano
          Scilingo, Enzo Pasquale
        affil: Faculty of Engineering, Interdepartmental Research Centre E. Piaggio, University of Pisa, Via Diotisalvi, 2, 56126 Pisa, Italy
      sug:
        subj:
          Clothing
          Electrodes
          Skin Physiology
          Signal Processing, Computer Assisted Equipment and Supplies
          Algorithms
          Electric Impedance
          Equipment Design
          Human
          Textiles
          Young Adult
      ab: This paper reports on performance evaluation of a preliminary system prototype based on a fabric glove, with integrated textile electrodes placed at the fingertips, able to acquire and process the electrodermal response (EDR) to discriminate affective states. First, textile electrodes have been characterized in terms of voltage-current characteristics and trans-surface electric impedance. Next, signal quality of EDR acquired simultaneously from textile and standard electrodes was comparatively evaluated. Finally, a dedicated experiment in which 35 subjects were enrolled, aiming at discriminating different affective states using only EDR was designed and realized. A new set of features extracted from non-linear methods were used, improving remarkably successful recognition rates. Results are, indeed, very satisfactory and promising in the field of affective computing.
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        research
        Journal Article
      ougenre: Article
    language: English
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