Cost-effective and efficient 3D human model creation and re-identification application for human digital twins

• Published in: Multimedia tools and applications Vol. 81; no. 19; pp. 26839 - 26856
• Main Authors: Sengan, Sudhakar, Kumar, Kailash, Subramaniyaswamy, V., Ravi, Logesh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2022; Springer Nature B.V
• Subjects: 1202: Multimedia Tools for Digital Twin; Artificial intelligence; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Digital twins; Multimedia Information Systems; Simulation models; Special Purpose and Application-Based Systems; Three dimensional models; Virtual humans; Kinect; Human model; Point cloud; Digital twin; Ground truth
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-021-10842-y

As health-care budgets are continuously under increasing demands, Artificial Intelligence resources such as digital heart twins could save millions of dollars by predicting results and preventing unnecessary surgery. Can we start to make digital human body twins to plant and predict health outcomes for a patient? By using a way to design competent simulation models from real objects, digital twins were created through IoT. But the digital twin is a complicated system and a very long-drawn step away from its possibilities. Researchers must design all components of entities or structures. There is a need to collect and merge various types of data. Many engineering researchers and participants aren’t sure about which technologies and resources to use. The 3D digital twin model offers a reference guide for digital twin comprehension and implementation. This paper aims to investigate and outline the recent technologies and tools used for digital twin applications from a 3-D digital model perspective, such as references to technologies and tools for future digital twin applications.