Needle placement is commonly employed in clinical procedures for diagnostic or therapeutic purposes, such as prostate biopsy and brachytherapy. In these interventions accurate needle placement is required to carry out the desired diagnosis or therapy. However, complex needle behavior within tissue poses a major challenge, particularly when needle deflection exacerbates the targeting error. Accurate needle deflection estimation can help compensate for needle bending before and during insertion. Numerous mechanical models have been proposed for needle deflection estimation in soft tissue [1, 2]. The majority of techniques demand precise a priori quantification of deflection model parameters and in actual clinical settings they suffer from errors inherent in such quantification. Through extensive simulation studies [3], it has been observed that this error can be significantly reduced by integrating additional measurements taken directly from the needle tip. Accordingly, a needle deflection method has been proposed that combines a kinematic deflection model with data collected from two electromagnetic (EM) trackers located at the needle tip and base using Kalman filters. This paper presents experimental validation of the simulation results.