Title :
Modeling the dynamics of MEMS-based mobile devices under speed-controlled human motion using acceleration measurements
Author :
Kotsopoulos, Andreas ; Antonakopoulos, Theodore
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Patras, Patras, Greece
Abstract :
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.
Keywords :
Markov processes; acceleration measurement; bioMEMS; biomechanics; data acquisition; data analysis; velocity control; MEMS-based mobile devices; acceleration measurement; acceleration signal diversity; accelerometer; collected data analysis; data acquisition setup; hidden Markov models; indicative measurement; physical system characteristics; speed-controlled human motion; Acceleration; Accelerometers; Anthropometry; Data acquisition; Data analysis; Hidden Markov models; Humans; Motion measurement; Signal analysis; Velocity measurement; Acceleration; Dynamics; HMM; MEMS; Modeling;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3352-0
DOI :
10.1109/IMTC.2009.5168592