DocumentCode :
669587
Title :
3D dynamics analysis of a golf full swing by fusing inertial sensor and vision data
Author :
Nguyen Khoa Nam Cao ; Young Soo Suh ; Quoc Khanh Dang
Author_Institution :
Dept. of Electr. Eng., Ulsan Univ., Ulsan, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
1300
Lastpage :
1303
Abstract :
In this paper, a golf swing motion tracking system is proposed, where golf club trajectory (position and velocity) and club face orientation information are given. Infrared LEDs and an inertial sensor unit are attached on a golf club and a stereo camera unit is used. During the address and impact golf swing phases, the cameras capture infrared LEDs on a golf club. Using infrared LEDs as landmarks, position and orientation of a golf club is computed. When a golf club is moving, an inertial navigation algorithm is used to compute the golf club trajectory. An indirect Kalman filter with 9 states is used to combine inertial sensor and vision data. The average position accuracy is about 3.6cm and the maximum error is about 13.2cm. The proposed system can be used to analyze the golf swing quantitatively.
Keywords :
Kalman filters; image fusion; image motion analysis; image sensors; inertial navigation; infrared detectors; light emitting diodes; object tracking; stereo image processing; 3D dynamics analysis; Kalman filter; club face orientation information; golf club position; golf club trajectory computation; golf club velocity; golf full swing; inertial navigation algorithm; inertial sensor fusion; inertial sensor unit; infrared LED; stereo camera; swing motion tracking system; vision data fusion; Instruments; Nickel; Quaternions; Kalman filter; golf; inertial sensor; motion tracking; stereo camera;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6704153
Filename :
6704153
Link To Document :
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