2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Activity and Emotion Recognition to Support Early Diagnosis of Psychiatric Diseases

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2511,
    author={David Tacconi and Oscar Mayora and Paul Lukowicz and Bert Arnrich and Cornelia Setz and Gerhard Troster and Christian Haring},
    title={Activity and Emotion Recognition to Support Early Diagnosis of Psychiatric Diseases},
    proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
    publisher={IEEE},
    proceedings_a={PERVASIVEHEALTH},
    year={2008},
    month={7},
    keywords={wearable computing ambient intelligence psychiatric questionnaires mobile devices.},
    doi={10.4108/ICST.PERVASIVEHEALTH2008.2511}
}
  • David Tacconi
    Oscar Mayora
    Paul Lukowicz
    Bert Arnrich
    Cornelia Setz
    Gerhard Troster
    Christian Haring
    Year: 2008
    Activity and Emotion Recognition to Support Early Diagnosis of Psychiatric Diseases
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2511
David Tacconi1,*, Oscar Mayora1,*, Paul Lukowicz2,*, Bert Arnrich3,*, Cornelia Setz3,*, Gerhard Troster3,*, Christian Haring4,*
  • 1: CREATE-NET Research Center, Trento, Italy.
  • 2: University of Passau, Passau, Germany
  • 3: ETHZ, Zurich, Switzerland
  • 4: Psychiatric State Hospital Tirol (PSHT), Innsbruck, Austria
*Contact email: david.tacconi@create-net.org, Oscar.Mayora@create-net.org, paul.lukowicz@uni-passau.de, barnrich@ife.ee.ethz.ch, cornelia.setz@ife.ee.ethz.ch, troester@ife.ee.ethz.ch, christian.haring@tilak.at

Abstract

Diagnosis of psychiatric diseases is currently accomplished with questionnaires filled in by the subjects, usually together with a specialist. Such questionnaires are often based on standard, formal scales, where questions range from the ability to cope with household activities, through social interactions, agitation, level of activity, to quality of sleep. In this paper, we propose a context aware framework to support semi-automation of the diagnosis of such diseases, leveraging on authors experience in the fields of activity and emotion recognition. We also introduce a brief description of the main components defining the architecture of the proposed platform and preliminary work on emotion estimation. Index Terms—wearable computing, ambient intelligence, psychiatric questionnaires, mobile devices.

Keywords
wearable computing ambient intelligence psychiatric questionnaires mobile devices.
Published
2008-07-22
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2008.2511
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