Modeling the dynamics of MEMS-based mobile devices under speed-controlled human motion using acceleration measurements

This work focuses on modeling the dynamics of MEMS-based mobile devices, when are subject to speed-controlled human motion, using measurements from accelerometers mounted on the device's frame. The measurement procedure and used data acquisition setup, indicative measurements showing the effect of physical system characteristics on the resulting acceleration signal diversity, the collected data analysis, as well as the selected modeling approach based on Hidden Markov Models (HMM) are presented and analyzed. Finally, simulation results of the proposed model's performance are discussed.