山东理工大学学报（自然科学版）2026，Vol.40Issue(1)：21-25,32,6.
基于手指追踪、肢体及面部动捕技术的三维手语建模研究
Research on 3D sign language modeling based on finger tracking,limb and facial motion capture technology
摘要
Abstract
Sign language is the most important means of communication for individuals with hearing im-pairments in daily life,but the complexity and diversity of sign language movements increase the learning cost.In this paper,we proposed a 3D sign language modeling method that integrates finger tracking,limb and facial motion capture.Using dedicated motion capture equipment,we can accurately capture the details and dynamic changes of fingers,limbs and facial movements.These captured motions are integrat-ed in the Unity platform and bound to a digital human model to achieve 3D sign language modeling.This method overcomes the limitation of traditional methods that could only capture single gestures.By incor-porating limb and facial movements,the 3D sign language becomes closer to real sign language,providing strong support for the digital expression of sign language and the development of communication aids for the hearing-impaired.关键词
手指追踪/手势识别/肢体捕捉/面部动捕/AI手语Key words
finger tracking/gesture recognition/limb motion capture/facial motion capture/AI-based sign language分类
信息技术与安全科学引用本文复制引用
秦永,涂佳利,黄为荣..基于手指追踪、肢体及面部动捕技术的三维手语建模研究[J].山东理工大学学报（自然科学版）,2026,40(1):21-25,32,6.基金项目
淄博市校城融合发展计划项目(2021JSCG0019) （2021JSCG0019）
