Detection and utilization of emotional state for disabled users

Yehya Mohamad, Dirk T. Hettich, Elaina Bolinger, Niels Birbaumer, Wolfgang Rosenstiel, Martin Bogdan, Tamara Matuz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present an experimental approach to design systems sensitive to emotion. We describe a system for the detection of emotional states based on physiological signals and an application use case utilizing the detected emotional state. The application is an emotion management system to be used for the support in the improvement of life conditions of users suffering from cerebral palsy (CP). The system presented here combines effectively biofeedback sensors and a set of software algorithms to detect the current emotional state of the user and to react to them appropriately.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages248-255
Number of pages8
Volume8547 LNCS
EditionPART 1
ISBN (Print)9783319085951
DOIs
Publication statusPublished - 2014
Event14th International Conference on Computers Helping People with Special Needs, ICCHP 2014 - Paris, France
Duration: Jul 9 2014Jul 11 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8547 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th International Conference on Computers Helping People with Special Needs, ICCHP 2014
Country/TerritoryFrance
CityParis
Period7/9/147/11/14

Keywords

  • Affective Computing
  • Context
  • Disabled Person
  • E-Learning
  • Emotion
  • Emotion Management
  • Machine Learning Algorithm
  • User Interface
  • Web-Based

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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