Authors:
Adrien Verhulst
1
;
Takehiko Yamaguchi
2
and
Paul Richard
1
Affiliations:
1
University of Angers, France
;
2
Tokyo University of Science, Japan
Keyword(s):
Dynamic Difficulty Adaptation, Physiological Signal, Emotion Recognition, Theragame, Cerebral Palsy.
Related
Ontology
Subjects/Areas/Topics:
Affective Computing
;
Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Observation, Modeling and Prediction of User Behavior
;
Pattern Recognition
;
Physiological Computing Systems
;
Physiology-Driven Computer Interaction
;
Software Engineering
Abstract:
The purpose of this research is to provide a physiological-based Dynamic Difficulty Adaptation (DDA) for
rehabilitation of children with Cerebral Palsy (CP). In this paper, we present all the steps of the DDA development
by going through (1) the acquisition of physiological signals, (2) the extraction of the physiological
signals’ features, (3) the training of a learning classifier of physiological signals' features, and (4) the implementation
of the DDA in a game-based rehabilitation system. As a result, we successfully implement a
physiological-based DDA based on the user affective state (anxiety and boredom).