TY  - JOUR
T1  - A Human-Centric Interactive Avatar Creation Framework Using Motion Capture and Face Expression Detection in Metaverse
AU  - Zainudin, Ahmad 
AU  - Tuli, Esmot Ara 
AU  - Kim, Dong-Seong 
AU  - Lee, Jae-Min 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.1.116
KW  - Interactive avatar
KW  - motion capture
KW  - face expression detection
KW  - metaverse
AB  - The metaverse is a next-generation internet that merges the physical and virtual worlds, offering users immersive interaction experiences. Avatars are essential components in the metaverse, as they are human digital representations that interact and communicate with virtual objects. However, current avatar development has limited movement capabilities (standing, walking, running, and jumping), and the features of facial expressions are limited. This paper presents an interactive avatar generation framework by leveraging motion capture and facial expression to enable human-like interactive avatars in metaverse ecosystems. The proposed framework utilizes the camera to capture the human skeleton data and provide more detailed human movements with facial expressions. This framework achieved high accuracy and low latency for detailed avatar movement synchronization in physical and virtual worlds.