计算机科学与探索2012，Vol.6Issue(12)：1109-1115,7.DOI:10.3778/j.issn.1673-9418.2012.12.005
手势数据驱动的头部运动合成方法
Sign Language Gesture Driven Head Movement Synthesis
摘要
Abstract
Non-manual component plays an important role in sign language communication. Head movement synthesis and synchronization with gesture is one of those main topics. Based on realistic training data, this paper introduces detailed explorations to reveal the relationship between gesture and head motion, and uses kernel canonical correlation analysis (KCCA) to build the head movement prediction model. Animation synthesis results and evaluation experiments imply that the proposed method can better measure the cooperation between sign gesture and head motion and enhance the naturalness of synthesized behaviors of sign language virtual human.关键词
手语/非手部手势/头部动作/核典型相关分析/虚拟人Key words
sign language/ non-manual component/ head movement/ kernel canonical correlation analysis (KCCA)/ virtual human分类
信息技术与安全科学引用本文复制引用
何文静,陈益强,刘军发..手势数据驱动的头部运动合成方法[J].计算机科学与探索,2012,6(12):1109-1115,7.基金项目
The National Natural Science Foundation of China under Grant Nos.61070110,90820303(国家自然科学基金). （国家自然科学基金）
