@inproceedings{f9907f9f77104ebe96e9b99eac739487,
title = "Detection and utilization of emotional state for disabled users",
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.",
keywords = "Affective Computing, Context, Disabled Person, E-Learning, Emotion, Emotion Management, Machine Learning Algorithm, User Interface, Web-Based",
author = "Yehya Mohamad and Hettich, {Dirk T.} and Elaina Bolinger and Niels Birbaumer and Wolfgang Rosenstiel and Martin Bogdan and Tamara Matuz",
year = "2014",
doi = "10.1007/978-3-319-08596-8_39",
language = "English",
isbn = "9783319085951",
volume = "8547 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "248--255",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 1",
note = "14th International Conference on Computers Helping People with Special Needs, ICCHP 2014 ; Conference date: 09-07-2014 Through 11-07-2014",
}