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Keystroke Rhythm Analysis Based on Dynamics of Fingertips

机译:基于指尖动力学的击键节律分析

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The proposed work presents an analysis of rhythmic patterns based on the dynamics of the fingertips observed during keystroke events on a traditional computer keyboard. In this work, a detailed analysis of pressure and acceleration applied by the user has been taken into consideration, in contrast to the earlier works which have focused primarily on the timing variations of the keys. In this purpose, two different types of sensors pressure and accelerometer were embedded on a traditional keyboard. Groupings of numerical digits and special keys were used to design different kinds of tasks to acquire sensor and timing variations of each keystroke event. In total, six subjects (two females and four males) were asked to provide the data to validate the proposed idea. Subsequently, two types of analysis, interpersonal and intrapersonal keystroke rhythm, have been carried out. The analysis results show uniquely identifiable keystroke sensor and timing variations for different users. However, individual users almost maintained his/her keystroke pressure and acceleration variation irrespective of the type of tasks. Such results demonstrate that keystroke rhythm based on pressure and acceleration variations of the fingertips can be used as a behavioural feature for developing more sophisticated biometric systems for intrusion detection.
机译:该拟议的工作基于传统计算机键盘上的击键事件期间观察到的指尖动态,提出了节奏模式的分析。在这项工作中,考虑了用户应用于用户应用的压力和加速度的详细分析,其主要是在键的时序变化上专注于键的时序变化。在此目的,在传统键盘上嵌入了两种不同类型的传感器压力和加速度计。数值数字和特殊密钥的分组用于设计不同类型的任务,以获取每个击键事件的传感器和定时变化。总共有六个科目(两名女性和四名男性)被要求提供数据以验证拟议的想法。随后,已经进行了两种类型的分析,人际关系和内歇节节律。分析结果显示了不同用户的唯一可识别的击键传感器和定时变化。然而,无论任务类型如何,个人用户几乎都保持了他/她的击键压力和加速度变化。这样的结果表明,基于指尖的压力和加速度变化的击键节律可以用作用于开发更复杂的生物识别系统的用于入侵检测的行为特征。

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