User Identification Based on Mouse Operation toward Automatic Home Appliance Configuration
User Identification Based on Mouse Operation toward Automatic Home Appliance Configuration
复制标题
基于鼠标操作的用户识别实现家电自动配置
DOI：
10.1109/gcce56475.2022.10014053
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
and H. Inamura
中科院分区：
文献类型：
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作者：
K. Suda;S. Ishida;and H. Inamura
如今，像咖啡机这样能精确控制味道的智能家电非常普遍。这些家用电器通常与家庭成员共享，而个人则有自己喜欢的配置。在本文中，我们提出了一种自动家电配置器，它可以识别用户并根据用户的偏好自动配置家电。作为提出的系统的第一步，我们提出了一个基于鼠标操作的用户识别系统，以将计算机从睡眠状态唤醒，这是日常家电控制操作的一个例子。关键思想是提取用户特定的鼠标操作特征，并通过监督学习识别用户。我们收集了24名受试者的鼠标操作日志，并确认该系统识别用户的准确率为93.5%。
Smart home appliances such as coffee machines with precise taste control are prevalent nowadays. These home appliances are often shared with family members, while the individual has a preferred configuration. In this paper, we propose an automatic home-appliance configurator that identifies a user and automatically configures the home appliance based on the user’s preference. As a first step of the proposed system, we present a user identification system based on mouse operations to wake a computer from a sleep state, which is an example of daily home appliance control operations. The key idea is to extract the features of user-specific mouse operations and identify the user by supervised learning. We collected mouse operation logs from 24 subjects and confirmed that the proposed system identified users with an accuracy of 93.5%.