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A Novel Biometric System for Identification and Verification of Haptic Users

机译:用于识别和验证触觉用户的新型生物识别系统

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Currently, almost all systems involve an identity authentication process before a user can access requested services such as online transactions, entrance to a secured vault, logging into a computer system, accessing laptops, secure access to buildings, etc. Therefore, authentication has become the core of any secure system, wherein most of the cases rely on identity recognition approaches. Biometric systems provide the solution to ensure that the rendered services are accessed only by a legitimate user and no one else. Biometric systems identify users based on behavioral or physiological characteristics. The advantages of such systems over traditional authentication methods, such as passwords and IDs, are well known; hence, biometric systems are gradually gaining ground in terms of usage. We investigate the issues related to the usage of haptics as a mechanism to extract behavioral features that define a biometric identifier system. In order to test this possibility, we design a haptic system in which position, velocity, force, and torque data from the instrument is continuously measured and stored as users perform a specific task. We analyze the information content of the haptic data generated directly from the instrument''s interface. We then measure the physical attributes such as force and torque that provide the richest information content pertaining to a user''s identity. Through a series of experimental work, we discover that haptic interfaces are more suited to verification mode rather than identification mode. Finally, we implement a biometric system based on haptics
机译:当前,在用户可以访问请求的服务(例如在线交易,进入安全保险库,登录计算机系统,访问便携式计算机,安全访问建筑物等)之前,几乎所有系统都涉及身份认证过程。因此,认证已成为一种任何安全系统的核心,其中大多数情况都依赖于身份识别方法。生物识别系统提供了一种解决方案,以确保仅合法用户访问提供的服务,而其他人则不能访问。生物识别系统根据行为或生理特征识别用户。这样的系统相对于传统的身份验证方法(例如密码和ID)的优势是众所周知的。因此,生物识别系统在使用方面正在逐步普及。我们调查与触觉作为一种机制来提取定义生物识别系统的行为特征的机制有关的问题。为了测试这种可能性,我们设计了一个触觉系统,在该触觉系统中,当用户执行特定任务时,会连续测量并存储来自仪器的位置,速度,力和扭矩数据。我们分析了直接从仪器界面生成的触觉数据的信息内容。然后,我们测量诸如力和扭矩之类的物理属性,这些属性提供与用户身份有关的最丰富的信息内容。通过一系列实验工作,我们发现触觉界面更适合于验证模式而不是识别模式。最后,我们实现了基于触觉的生物识别系统

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