CAJ | 학술논문

科学评估飞行训练质量，对提高飞行员的飞行驾驶技术以及保障飞行安全具有重要意义。动作识别是飞行评估的一项基本内容，许多评估内容都是建立在获取动作序列的基础上的。在动态时间规整（DTW）的基础上提出了一种多元动态时间规整算法（MDTW），通过多维融合的方法进行多元时间序列相似性运算。经实际应用验证，该算法有效提升了传统DTW动作识别的效率和准确性。
과학평고비행훈련질량，대제고비행원적비행가사기술이급보장비행안전구유중요의의。동작식별시비행평고적일항기본내용，허다평고내용도시건립재획취동작서렬적기출상적。재동태시간규정（DTW）적기출상제출료일충다원동태시간규정산법（MDTW），통과다유융합적방법진행다원시간서렬상사성운산。경실제응용험증，해산법유효제승료전통DTW동작식별적효솔화준학성。
Scientific assessment of the quality of flight training is important to improve the driving skills of the pilots and flighting safety. Action recognition is an essential element of the flight assessment. Many assessments are based on the sequence of actions. This paper presents an MDTW(Multivariant Dynamic Time Warping)algorithm based on Dynamic Time Warping(DTW). It conducts multivariate time series similarity computing by multidimensional integration. The results of experiments show the MDTW algorithm has improved efficiency and accuracy of conventional DTW algorithm.