%Aigaion2 BibTeX export from IfE Document Management System
%Monday 21 May 2012 08:41:32 AM

@INPROCEEDINGS{Arnrich_Self_Organizing_Maps_for_Affective_State_Detection_2010,
     author = {Arnrich, Bert and Setz, Cornelia and La Marca, Roberto and Tr{\"{o}}ster, Gerhard and Ehlert, Ulrike},
   keywords = {arnrich_stress, MONARCA},
      title = {Self Organizing Maps for Affective State Detection},
  booktitle = {Machine Learning for Assistive Technologies},
       year = {2010},
   abstract = {In this contribution we present two experimental scenarios in which we employed Self Organizing Maps (SOMs) to detect affective states. The first scenario is related towards designing a "Personal Stress Prevention Assistant": we summarize our efforts to detect affective information related to stress in the posture channel. We show that a person-independent discrimination of stress from cognitive load is feasible when using data from a pressure mat mounted on a seat. The second scenario is embedded towards assisting patients with manic depression: we present preliminary results in detecting emotions from voice data. Our findings illustrate that a person-dependent discrimination of emotions from voice data seems feasible and that a general model might be appropriate to discriminate high and low levels of arousal.}
}