TY  - CONF
ID  - Tacconi08
T1  - Activity and emotion recognition to support early diagnosis of psychiatric diseases
A1  - Tacconi, D.
A1  - Mayora, O.
A1  - Lukowicz, Paul
A1  - Arnrich, Bert
A1  - Setz, Cornelia
A1  - Tröster, Gerhard
A1  - Haring, C.
TI  - Proceedings of 2nd International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health)
Y1  - 2008
SP  - 100
EP  - 102
M2  - doi: 10.1109/pcthealth.2008.4571041
KW  - arnrich_stress
KW  - diseases
KW  - emotion estimation
KW  - Emotion recognition
KW  - health care
KW  - medical diagnostic computing
KW  - mobile computing
KW  - mobile devices
KW  - patient diagnosis
KW  - psychiatric diseases early diagnosis
KW  - psychology
KW  - wearable computerscontext aware framework
KW  - Wearable Computing
N2  - 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.
ER  -