Authors:
Carolin Zschippig
;
Carsten Rachuy
and
Kerstin Schill
Affiliation:
University of Bremen, Germany
Keyword(s):
Adaptive computing, ANFIS, System identification, Model Identification Adaptive Controllers (MIAC), Ambient assisted living, Biofeedback, Galvanic skin resistance, Adaptive software.
Related
Ontology
Subjects/Areas/Topics:
Affective Computing
;
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Pattern Recognition and Machine Learning
;
Practice-based Research Methods for Healthcare IT
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Telemedicine
Abstract:
We explore the potential of model identification adaptive controllers (MIAC) within a biofeedback system. Through the application of an adaptive control algorithm, the system performance could be optimised with respect to time. In a series of experiments the galvanic skin resistance of test subjects playing a computer game was recorded. On this data, a system identification was performed, utilising an Adaptive-Network-based Fuzzy Inference System (ANFIS). The results serve as a basis for the development of the adaption laws of the MIAC and allow conclusions about suitable controllers.