基于MDTW的飞行动作识别算法

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。

Flight action recognition algorithm based on MDTW

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.