Fuzzy logic-based sport activity risk assessment framework optimization

Abstract

The aim of the system presented in this paper is to assess the current risk level based on personal parameters during sport activity. In these kinds of monitoring systems the patient-specific evaluation is essential to obtain realistic result thereby making use of the system more secure. This requirement is fulfilled by the risk assessment framework published by the author and her colleagues. However, it is also equally important to obtain the accurate result in time to avoid the serious consequences. In order to address this problem in this paper the author presents some evaluation structure reduction techniques which reduce the computational need of the risk assessment. These models are the modifications of the conventional Mamdani-type inference system maintaining its advantageous properties while the computational complexity is reduced and the result is equivalent to the conventional system result.