With the proliferation of smart devices, children can be easily exposed to violent or adult-only content on the Internet. Without any precaution, the premature and unsupervised use of smart devices can be harmful to both children and their parents. Thus, it is critical to employ parent patrol mechanisms such that children are restricted to child-friendly content only. A successful parent patrol strategy has to be user friendly and privacy aware. The apps that require explicit actions from parents are not effective because a parent may forget to enable them, and the ones that use built-in cameras or microphones to detect child users may impose privacy violations. In this article, we propose iCare, a system that can identify child users automatically and seamlessly when users operate smartphones. In particular, iCare investigates the intrinsic differences of screen-touch patterns between child and adult users from the aspect of physiological maturity. We discover that one’s touch behaviors are related to his or her age. Thus, iCare records the touch behaviors and extracts hand geometry, finger dexterity, and hand stability features that capture the age information. We conduct experiments on 100 people including 62 children (3 to 17 years old) and 38 adults (18 to 59 years old). Results show that iCare can achieve 96.6% accuracy for child identification using only a single swipe on the screen, and the accuracy becomes 98.3% with three consecutive swipes.

中文翻译：

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通过触摸屏交互识别儿童用户

随着智能设备的普及，儿童很容易接触到互联网上的暴力或成人内容。如果不采取任何预防措施，过早和无人监督地使用智能设备可能对儿童及其父母都有害。因此，至关重要的是采用家长巡逻机制，以使儿童仅限于儿童友好的内容。一个成功的家长巡逻策略必须是用户友好和隐私意识。需要父母明确行动的应用程序无效，因为父母可能忘记启用它们，而使用内置摄像头或麦克风检测儿童用户的应用程序可能会侵犯隐私。在本文中，我们提出了 iCare，一个可以在用户操作智能手机时自动无缝识别儿童用户的系统。特别是，iCare 从生理成熟度方面研究儿童和成人用户屏幕触摸模式的内在差异。我们发现一个人的触摸行为与他或她的年龄有关。因此，iCare 记录触摸行为并提取捕获年龄信息的手部几何形状、手指灵活性和手部稳定性特征。我们对 100 人进行了实验，其中包括 62 名儿童（3 至 17 岁）和 38 名成人（18 至 59 岁）。结果表明，iCare 只需在屏幕上一次滑动即可实现 96.6% 的儿童识别准确率，连续 3 次滑动即可达到 98.3% 的准确率。iCare 记录触摸行为并提取捕获年龄信息的手部几何形状、手指灵活性和手部稳定性特征。我们对 100 人进行了实验，其中包括 62 名儿童（3 至 17 岁）和 38 名成人（18 至 59 岁）。结果表明，iCare 只需在屏幕上一次滑动即可实现 96.6% 的儿童识别准确率，连续 3 次滑动即可达到 98.3% 的准确率。iCare 记录触摸行为并提取捕获年龄信息的手部几何形状、手指灵活性和手部稳定性特征。我们对 100 人进行了实验，其中包括 62 名儿童（3 至 17 岁）和 38 名成人（18 至 59 岁）。结果表明，iCare 只需在屏幕上一次滑动即可实现 96.6% 的儿童识别准确率，连续 3 次滑动即可达到 98.3% 的准确率。