手语合成动画中基于隐马尔可夫模型的头动合成

手语是一种靠动作、视觉进行交流的特殊语言,在手语表达过程中,头部运动蕴涵语义以及情感信息。本文分析了手语表达中手势动作和头部动作的运动相关性,利用隐马尔可夫模型(HMMs)为每一个离散的头部动作表示建模,基于一阶马尔科夫模型和插值算法生成平滑的头动动画。

Head Motion Synthesis Based on HMM for Sign Animation

Sign language is special language that employs sign and other visions. Head movements contain semantic and emotional information during signing. This paper analyzes coefficient relation between gestures and head movements,builds model for every discrete head movement with hidden Markov models (HMMs),creates smooth head animation based on first-order Markov model and interpolation algorithm.