In the course of an artificially triggered avalanche, a particle tracking procedure is combined with supplementary measurements, including Global Navigation Satellite System (GNSS) positioning, Terrestrial Laser Scanning (TLS), and Doppler radar measurements. Specifically, an Inertial Measurement Unit (IMU) is mounted inside a rigid sphere and placed in the avalanche track. It is entrained by the moving snow, measuring translational accelerations, angular velocities, and the flux density of Earth’s magnetic field. Based on this data, we present a threefold analysis: (i) a qualitative data interpretation, identifying different particle motion phases which are associated to corresponding flow regimes, (ii) a quantitative time integration algorithm, determining the corresponding particle trajectory and associated velocities on the basis of standard sensor calibration, and (iii) an improved quantitative evaluation relying on a novel in situ sensor calibration technique, which is motivated by the limitations of the given data set. The final results, i.e. the evolution of the angular orientation of the sensor unit, translational and rotational velocities, and estimates of the sensor trajectory, are assessed with respect to their reliability and relevance for avalanche dynamics as well as for future design of experiments.