Research Article
Activity and Emotion Recognition to Support Early Diagnosis of Psychiatric Diseases
@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
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.
