| 基于CM-DTW算法的智能手机动态手势身份认证 |
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| 引用本文： | 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[J].计算机系统应用,2019,28(8):17-23. |
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| 作者姓名： | 李翔宇 许力 李瑞兴 |
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| 作者单位： | 闽江师范高等专科学校 计算机系, 福州 350108;物联网福建省高校应用工程中心, 福州 350108;福建师范大学 数学与信息学院, 福州 350007;物联网福建省高校应用工程中心, 福州 350108 |
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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） |
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| 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.
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| 关 键 词： | DTW算法 身份认证 生物行为特征 标准模板 动态手势 |
| 收稿时间： | 2019/1/29 0:00:00 |
| 修稿时间： | 2019/2/27 0:00:00 |
Dynamic Gesture Identity Authentication of Smart Phone Based on CM-DTW Algorithms |
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| LI Xiang-Yu,XU Li and LI Rui-Xing.Dynamic Gesture Identity Authentication of Smart Phone Based on CM-DTW Algorithms[J].Computer Systems& Applications,2019,28(8):17-23. |
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| Authors: | LI Xiang-Yu XU Li and LI Rui-Xing |
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| Affiliation: | Department of Computer Science, Minjiang Teachers College, Fuzhou 350108, China;IOT Application Engineering Center of Colleges and Universities in Fujian Province, Fuzhou 350108, China,College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350117, China;IOT Application Engineering Center of Colleges and Universities in Fujian Province, Fuzhou 350108, China and Department of Computer Science, Minjiang Teachers College, Fuzhou 350108, China;IOT Application Engineering Center of Colleges and Universities in Fujian Province, Fuzhou 350108, China |
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| 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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| Keywords: | DTW algorithm identity authentication biological behavior characteristics standard template dynamic gesture |
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