CAJ | 학술논문

针对传统运动参数测量方法估计结果偏差较大的问题，为了提高运动参数的测量精度，提出一种可变形状基的自适应运动参数识别方法。首先运动员的运动可以看作是一个随机过程，通过计算运动员的形心坐标，确定运动状态下运动员的形状基矩阵，然后使用测量矩阵的秩来计算形状基数量的可变性，最后获得形状基在噪声干扰情况下的最优计算结果。仿真结果表明，本文方法可以更加准确检测出人体运动的相关参数，提高了参数的测量精度。
침대전통운동삼수측량방법고계결과편차교대적문제，위료제고운동삼수적측량정도，제출일충가변형상기적자괄응운동삼수식별방법。수선운동원적운동가이간작시일개수궤과정，통과계산운동원적형심좌표，학정운동상태하운동원적형상기구진，연후사용측량구진적질래계산형상기수량적가변성，최후획득형상기재조성간우정황하적최우계산결과。방진결과표명，본문방법가이경가준학검측출인체운동적상관삼수，제고료삼수적측량정도。
Aiming at the large deviation problem of traditional measurement methods in motion parameters estima-tion, an adaptive motion parameters recognition method based on deformable shape was presented to improve the meas-urement accuracy of the motion parameters. Firstly, because athlete motion is a random process, the motion state shape matrix can be acquired by computing athletes centroid coordinates. Then the variability of shape number is calculated using rank of measurement matrix. Finally, the optimal calculation results are obtained under noise interference. The simulation results showed that this method could more accurately measure the movement parameters and improve the measurement accuracy of parameters.