机译:方向不变惯性步态匹配算法的评价
Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA;
Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA;
Authentication; Cameras; Smart phones; Biometrics (access control); Sensor phenomena and characterization; Databases;
机译:最大的基于惯性传感器的步态数据库和基于步态的个人认证的性能评估
机译:Implementation of Machine Learning Classification Regarding Hemiplegic Gait Using an Assortment of Machine Learning Algorithms with Quantification from Conformal Wearable and Wireless Inertial Sensor System
机译:基于惯性传感器和自适应算法的步态分析方法系统综述
机译:基于Kabsch对准的方向不变步态匹配算法。
机译:惯性步态的方向不变性方法
机译:通过视觉惯性里程表的地图匹配算法提高定位精度
机译:惯性测量单元的有效性,以评估步态,静坐转移和升压传输期间的盆景角度:与光电运动捕获系统的比较*