Phase registration in a gallery improving gait authentication
Phase registration in a gallery improving gait authentication
复制标题
DOI：
10.1109/ijcb.2011.6117527
复制
发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
T. N. Thanh;Yasushi Makihara;H. Nagahara;R. Sagawa;Y. Mukaigawa;Y. Yagi
中科院分区：
文献类型：
--
作者：
T. N. Thanh;Yasushi Makihara;H. Nagahara;R. Sagawa;Y. Mukaigawa;Y. Yagi
在本文中，我们提出了一种基于惯性传感器的步态认证方法，通过所有者图库的跨时段相位注册。尽管构建相位注册步态模式库对于步态认证很重要，但以前的实现仅依赖于基于启发式知识的简单周期检测方法，例如步态信号的局部峰/谷或局部自相关。因此，我们建议通过结合相位注册技术来改进步态图库，该技术在能量最小化框架中全局优化周期间相位一致性。然而，先前的相位配准技术由于周期信号函数和相位演化函数的组合中的模糊性而遭受相位失真问题。我们在构建未失真的步态信号之前提出了线性相位演化，以获得更好的匹配性能。使用 32 名受试者的真实步态信号进行的实验表明，所提出的方法优于该领域的最新方法。
In this paper, we propose a method of inertial sensor-based gait authentication by inter-period phase registration of an owner's gallery. In spite of the importance for gait authentication of constructing a gallery of phase-registered gait patterns, previous implementations just relied on simple methods of period detection based on heuristic knowledge such as local peaks/valleys or local auto-correlation of the gait signals. Consequently, we propose to improve a gait gallery by incorporating a phase registration technique which globally optimizes inter-period phase consistency in an energy minimization framework. However, the previous phase registration technique suffers from a phase distortion problem due to ambiguities in the combination of a periodic signal function and a phase evolution function. We present a linear phase evolution prior to constructing an undistorted gait signal for better matching performance. Experiments using real gait signals from 32 subjects show that the proposed methods outperform the latest methods in the field.