Head-related transfer function (HRTF) is essential to provide a spatialized listening experience over headphones. HRTF-based techniques have been extensively used for 3D audio. A number of studies defend the necessity of individual HRTFs to create convincing immersive audio experience. This project implements a method based on adaptive filtering that allows users to acquire personalised HRTFs based on binaural audio recordings and head tracking information. Simulations were performed to evaluate the influence of the signal to noise ratio, the type of excitation signal, the kind ofheadmovementsandthetimeofthe acquisition time on the system’s accuracy. The results validate the accuracy of the proposed system, being able to achieve adequate precision even in very low (under 30dB) signal to noise ratio scenarios.