"Advanced Intelligent Information Society" mission area

Index

Human-centric Digital Twins Services Utilizing AI, Big Data and IoT

In this prioritized theme, we consider the construction of Digital Twins that places humans at the center of system design (Human-centric Digital Twins) as the key to designing new future society, and will promote the development of technologies to realize it and the creation of new services by doing so.

It requires digitization targeting at human beings, which involves various issues such as sensing of emotions and behavior, real-time conversion and processing of collected data, and data distribution that takes privacy into consideration. To solve these issues, it is essential to make full use of cutting-edge information technologies related to AI, Big Data, and IoT, including maintenance of data such as Big Data, measurement and sensing technologies, extraction of correlations between various data, data cleansing, real-time simulation and environment for data utilization.

The purpose of the FY2021 prioritized theme "Human-centric Digital Twins Services" remains unchanged. This prioritized theme aims to create services that transform people and society by digitally twinning all social elements with information technologies that make full use of AI, big data, IoT, etc.

R&D Projects

Feasibility Study

<Adopted in FY2022> R&D Project TitleSummaryR&D Period
Carbon-neutral digital twin with the core of energy big data
IHARA Manabuexlink
Carbon-neutral digital twin with the core of energy big data
(PDF:513KB)
2022.10-
Earthquake-Disaster Digital Twin of Condominium/Apartment Complex for Realizing Strong Resilient Society
KAJIWARA Koichiexlink
Earthquake-Disaster Digital Twin of Condominium/Apartment Complex for Realizing Strong Resilient Society
(PDF:495KB)
2022.10-
Metaverse platform that enables co-creation with caregiver and professionals
NAKATANI Momokoexlink
Metaverse platform that enables co-creation with caregiver and professionals
(PDF:415KB)
2022.10-
Digital Olfactory Contents Using Odor Reproduction Techniques
NAKAMOTO Takamichiexlink
Digital Olfactory Contents Using Odor Reproduction Techniques
(PDF:256KB)
2022.10-
Comprehensive and Cross-scale Physiological Signal Acquisition
FUJITA Daishiexlink
Comprehensive and Cross-scale Physiological Signal Acquisition
(PDF:332KB)
2022.10-

Affiliation and job title should automatically appear from the information that a researcher registered with researchmap. Data may be outdated or undocumented.
When there is not a connection via the internet, data are not displayed.

Index