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计算机系统应用英文版:2019,28(8):17-23
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基于CM-DTW算法的智能手机动态手势身份认证
(1.闽江师范高等专科学校 计算机系, 福州 350108;2.物联网福建省高校应用工程中心, 福州 350108;3.福建师范大学 数学与信息学院, 福州 350007)
Dynamic Gesture Identity Authentication of Smart Phone Based on CM-DTW Algorithms
(1.Department of Computer Science, Minjiang Teachers College, Fuzhou 350108, China;2.IOT Application Engineering Center of Colleges and Universities in Fujian Province, Fuzhou 350108, China;3.College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350117, China)
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Received:January 29, 2019    Revised:February 27, 2019
中文摘要: 针对DTW算法在手势身份认证中存在的问题,提出了一种基于约束多维DTW算法(Constraints Multi-dimension Dynamic Time Wrapping,CM-DTW)的智能手机动态手势身份认证方法.该方法利用手机内置传感器获取代表用户生物行为特征的手势数据,通过Sakoe-Chiba窗约束下的DTW算法选择合法用户的候选模板集,采用线性升降采样归一化候选模板得到一个标准模板.该方法与DTW算法相比,不仅提高了身份认证的时间效率,并且保证了用户身份认证的准确率.
Abstract:Aiming at the problems of DTW algorithm in gesture authentication, the dynamic gesture authentication method for smartphones based on CM-DTW (Constraints Multi-dimensional Dynamic Time Wrapping) is proposed. The method uses smartphone built-in sensors to obtain gesture data which representing users' biological behavior characteristics. The candidate template set of legitimate users is selected by DTW algorithm with Sakoe-Chiba window constraints, and a standard template is obtained by normalizing the candidate template with linear up-down sampling. Compared with DTW algorithm, the proposed method not only improves the time efficiency of user identity authentica-tion but also maintains the accuracy.
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基金项目:国家自然科学基金海峡联合项目(U1405255);福州市科技重大项目(榕科(2017)325号);福建省教育厅中青年科研项目(JZ180628)
引用文本:
李翔宇,许力,李瑞兴.基于CM-DTW算法的智能手机动态手势身份认证.计算机系统应用,2019,28(8):17-23
LI Xiang-Yu,XU Li,LI Rui-Xing.Dynamic Gesture Identity Authentication of Smart Phone Based on CM-DTW Algorithms.COMPUTER SYSTEMS APPLICATIONS,2019,28(8):17-23