Document Type
Conference Proceeding
Publication Date
1-1-2023
Journal / Book Title
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Abstract
Digital human technology can be applied to many areas, especially at the interaction of intelligent machines, digital 3D, and human-machine interaction. This paper develops a digital human system that enhances friendly interaction between humans and machines through synchronized and realistic facial expressions, based on tracking data from a human user. The details of this paper can be summarized in three parts. First, customize and build a 3D model for the digital human. Second, create a parameterized 3D model for different facial animations. Third, track the user for synchronizing the facial expressions of the customized digital human. The experimental results and analysis in this paper demonstrate the effectiveness and advantages of the developed system, which can create realistic and natural synthesized facial expressions. The system can be further generalized to other intelligent computing areas, such as smart medical care, autonomous vehicles, and companion robots.
DOI
10.1007/978-981-99-4755-3_68
Journal ISSN / Book ISBN
85174741303 (Scopus)
Montclair State University Digital Commons Citation
Condegni, Anthony; Wang, Weitian; and Li, Rui, "A Digital Human System with Realistic Facial Expressions for Friendly Human-Machine Interaction" (2023). School of Computing Faculty Scholarship and Creative Works. 11.
https://digitalcommons.montclair.edu/computing-facpubs/11