Title :
Video and inertial sensors based estimation of kinematical parameters in swimming sport
Author :
Daukantas, S. ; Marozas, V. ; Lukosevicius, A. ; Jegelevicius, D. ; Kybartas, D.
Author_Institution :
Biomed. Eng. Inst., Kaunas Univ. of Technol., Kaunas, Lithuania
Abstract :
The purpose of this study was to investigate if tracking of kinematical parameters (longitudinal acceleration, velocity and pitch angle) in swimming sport is feasible using data acquired with inertial sensors: accelerometer and gyroscope. Video data analysis combined “video + inertial sensor” and “inertial sensors only” methods are presented for estimation of kinematical parameters. The equation for estimation of longitudinal acceleration from inertial sensors data is derived and complementary filter for estimation of pitch angle variation is proposed. The inertial sensor based kinematical parameters are compared with video data analysis and electromagnetic tracking system derived parameters.
Keywords :
accelerometers; biomechanics; data acquisition; filters; gyroscopes; image sensors; inertial navigation; sport; video signal processing; accelerometer; complementary filter; data acquisition; electromagnetic tracking system; gyroscope; inertial sensor; kinematical parameter estimation; longitudinal acceleration estimation equation; pitch angle variation; swimming sport; video data analysis; video sensor; Acceleration; Accelerometers; Cameras; Estimation; Gyroscopes; Sensors; Tracking; accelerometer; complementary filters; gyroscope; longitudinal velocity and acceleration;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072785
