Drowsy driving can lead to road accidents. Therefore, it is essential to find methods to prevent drowsy driving. The aim of this thesis is the implementation of a method for detecting drowsy driving using the respiration rate (RR). Data have been collected through a dynamic driving simulator. RR data has been measured with a thoracic respiratory band for the Polysomnographic test. Two real-time algorithms have been developed to detect drowsy driving from the dsRR (differential of the standard deviation) and the dmRR (medium value of the respiration rate) of a certain window of RR signal samples. The needed system transfer functions have been identified through the set membership identification approach.