FingerPuppet: Finger-Walking Performance-based Puppetry for Human Avatar
Journal
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Part Of
Conference on Human Factors in Computing Systems - Proceedings
Start Page
1
End Page
6
ISBN
9798400703317
Date Issued
2024-05-11
Author(s)
Abstract
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.
Event(s)
2024 CHI Conference on Human Factors in Computing Systems, CHI EA 2024, Hybrid, Honolulu
SDGs
Publisher
ACM
Description
CHI '24: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, May 11 - 16, 2024
Type
conference paper