Kinematics Analysis of Arms in Synchronized Canoeing With Wearable Inertial Measurement Unit

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Abstract
Synchronized canoeing is a cyclically repetitive sport, and two canoeists need to work in concert with each other’s power patterns and paddle movements to achieve great results. Most of the analysis of synchronized canoeing focuses on the mechanics and work output of oars. This paper proposes a motion capture method based on inertial sensors. The extended Kalman filter method is used to fuse the sensor information and reconstruct human movements. Four sets of joint angular movement data of shoulders and elbows of two canoeists are extracted respectively for kinematics analysis with correlation coefficient and dynamic time warping method. The experimental results show that there is a significant correlation (r=0.9605) between the shoulder joint angles of the synchronized canoeists. The dynamic time warping method can also clearly analyze the posture coordination of two canoeists. According to the analysis results of upper limb kinematics, this research can evaluate the synchronization effect of synchronized canoeing from the perspective of kinematics, help canoeists to improve their technical movements and help coaches to reasonably select athletes with matching skills and styles.
Funding Information
  • National Natural Science Foundation of China (62272081, 61903062, 61873044, 61803072)
  • Natural Science Foundation of Liaoning Province, China (2021-MS-353, 2021-MS-111)
  • Fundamental Research Funds for the Central Universities, China (DUT22YG128, DUT20JC03, DUT20JC44)

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