Abstract
This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extracted from swipe gestures. The study is conducted on the publicly available HMOG dataset consisting of 100 study subjects performing pre-defined reading and navigation tasks while sitting and walking. It is shown that context-specific models are needed for different smartphone usage and human activity scenarios to minimize authentication error. Also, the experimental results suggests that utilization of phone movement improves swipe gesture-based verification performance only when the user is moving.
Abstract (translated)
这项工作调查了在对智能手机用户进行连续认证时，应如何根据从滑动手势中提取的触摸屏和加速度计读数来考虑上下文。这项研究是在公共可用的HMOG数据集上进行的，该数据集由100名研究对象组成，在坐着和走路时执行预先定义的阅读和导航任务。结果表明，不同的智能手机使用和人工活动场景都需要上下文特定的模型，以最小化身份验证错误。实验结果还表明，只有当用户移动时，手机移动的利用才能提高基于滑动手势的验证性能。
URL
https://arxiv.org/abs/1905.11780
