An automatic and adaptive light control system by integrating wireless sensors and brain-computer interface

Abstract

Many people today spend much time on using computers and mobile phones. Without proper lighting, such behavior may hurt their eyesight. There are several studies using sensors for light control, but they require users to give desired illumination. However, users may have no idea what values of illumination they need for reading. It motivates us to propose an automatic and adaptive light control (A2LC) system to intelligently adjust lamplight based on the user's physiological state. A2LC analyzes the user's brain waves and blink intensity via the brain-computer interface (BCI). It then adjusts the lamplight's illumination to help the user focus attention. A prototype is developed to demonstrate the feasibility of A2LC. Through experiments on the prototype, we show that people can improve their attention on reading with the help of A2LC.