User Identification Based on Mouse Operation Toward Automatic Home Appliance Configuration

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%.