Interactive Smart Space for Single-Person Households Using Electroencephalogram through Fusion of Digital Twin and Artificial Intelligence

Seung Yeul Ji

doi:10.3390/en14227771

Abstract

The core technology for building a smart space includes the capability to analyse the space for users using various sensors. The purpose of this study was to propose a personalised interactive smart space implementation model driven by the fusion of digital twin (DT) and artificial intelligence (AI) based on electroencephalogram (EEG) data. This study utilised a handheld EEG sensor to identify a user’s emotion information and focused on the connection with the space. A smart space for single-person households that responds to EEG-based biometric information was designed for an interactive space that can improve the current emotional state of the space user. The technical characteristics of DT and AI were analysed to control spatial changes according to the user’s emotional state and to address safety-related issues. Furthermore, a fusion mechanism for DT and AI was developed for intelligent motor control to change the dimensions of the space in order to improve the EEG state of the user. In addition, using an AI model that converts EEG data into emotional state information, the user’s emotional state was analysed, and key issues related to the spatial dimensions and change of space that induce psychological stability were investigated.

Highlights

For such “smart spaces”, the core technology includes the analysis [3] of the user space using various types of sensors [4]
digital twin (DT) and artificial intelligence (AI) were utilised for efficient management and control of a smart space expansion system based on the user’s EEG
This study analysed the current status of research and information technology applications in the field of architecture using EEG and investigated the fusion mechanism of DT and AI

Summary

Introduction

Smart space refers to ensuring user convenience through communication between humans and physical space using digital technology [2]. For such “smart spaces”, the core technology includes the analysis [3] of the user space using various types of sensors [4]. User behaviour analyses have been conducted using observational methods and surveys [5]. With such information, arbitrary filtering occurs when the user jots down their thoughts explicitly, which may lead to inaccuracies [6]

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Methods

Conclusion