IMPLEMENTATION OF A HUMAN-CENTRIC INTERACTIVE SMART SPACE USING EEG AND FACE EMOTION AI

Abstract

Various approaches have been proposed to create a smart space using a variety of sensors and instil positive emotions in a usercentred space. The core feature of building human-centric smart space is the analysis of user space using various sensors. In particular, as biometric sensors used in medical applications involving humans are simple and fused, research to use them in everyday environments is being actively conducted. In this study, digital twins were used to monitor humans in the building space using EEG data, analyse their situational characteristics, and create a smart environment. However, to compensate for the limitations associated with accurate expression of emotional information using only brain waves, the emotional states users were supplemented through the image-based Face Emotion AI, and a smart space was established to improve the emotional states of users.