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Optimising Control Algorithms in Biofeedback-systems - First Steps towards Model Identification Adaptive Controllers

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.