FingerPuppet: Finger-Walking Performance-based Puppetry for Human Avatar
Ching-Wen Hung, Chung-Han Liang, Bing-Yu Chen
CHI 2024: The ACM CHI Conference on Human Factors in Computing Systems
Session: Late-Breaking Work: Creative HCI
Performance-based digital puppetry has gained widespread popularity in various fields, including gaming, storytelling, animation editing, etc. Human hands are well-suited for manipulating digital avatars with their skill and ability to perform multiple movements. In this work, we adopted the finger-walking technique, a natural and intuitive method of performance, as an interface for controlling human avatars. We first conducted a preliminary study to explore the range of finger-walking movements preferred by casual users and identified several general types of finger-walking performances. Based on the study results, we selected five common example animations from a database suitable for finger-walking performance. To manipulate human avatars, we developed a method that maps finger-walking motions to leg motions using rotation mapping and matches similar leg motions in the example animations to generate expressive full-body motions. We also implemented a prototype interactive storytelling application to demonstrate the effectiveness of our system in developing responsive and reliable human avatar motions.
Web:: [ Ссылка ]
Video teaser for late-breaking works at CHI 2024
