CAJ | 학술논문

本文采用径向基函数神经网络进行人体运动跟踪与人体姿态预测,利用采集的运动数据对本文提出的运动跟踪与姿态预测方法进行性能评估,给出部分测试和比较实验结果,实验结果表明,基于径向基函数神经网络的人体运动跟踪与人体姿态预测方法是可行的.
본문채용경향기함수신경망락진행인체운동근종여인체자태예측,이용채집적운동수거대본문제출적운동근종여자태예측방법진행성능평고,급출부분측시화비교실험결과,실험결과표명,기우경향기함수신경망락적인체운동근종여인체자태예측방법시가행적.
In this paper, the Radial Basis Function (RBF) neural network is employed to track the human motion and predict the human body gesture. Some tests and comparison experiments have been made to evaluate the performance for the motion tracking and gesture prediction using collected motion data. The experimental results show that the RBF neural network based motion tracking and gesture prediction methods is feasible.