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2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Electrode position optimization for facial EMG measurements for human-computer interface

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2839,
        author={N.  N\o{}jd and M. Hannula and J. Hyttinen},
        title={Electrode position optimization for facial EMG measurements for human-computer interface},
        proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2008},
        month={7},
        keywords={fEMG; volume conductor model; FDM; modeling},
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2839}
    }
    
  • N. Nöjd
    M. Hannula
    J. Hyttinen
    Year: 2008
    Electrode position optimization for facial EMG measurements for human-computer interface
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2839
N. Nöjd1, M. Hannula1, J. Hyttinen1
  • 1: Department of Biomedical Engineering, Tampere University of Technology, Tampere, Finland.

Abstract

The aim of this work was to model facial electromyography (fEMG) to find optimal electrode positions for wearable human-computer interface system. The system is a head cap developed in our institute and with it we can measure fEMG and electro-oculogram (EOG). The signals can be used to control the computer interface: gaze directions move the cursor and muscle activations correspond to clicking. In this work a very accurate 3D model of the human head was developed and it was used in the modeling of fEMG. The optimal positions of four electrodes on the forehead measuring the activations of frontalis and corrugator muscles were defined. It resulted that the electrode pairs used in frontalis and corrugator measurements should be placed orthogonally by comparison with each other to get a signal that enables the separation of those two different activations.

Keywords
fEMG; volume conductor model; FDM; modeling
Published
2008-07-22
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2008.2839
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