通过动态时序与口型增强葡萄牙手语动画
Enhancing Portuguese Sign Language Animation with Dynamic Timing and Mouthing
AI总结：
本文面向葡萄牙手语虚拟人，提出手语间动态过渡并加入口型动画的方法，实验表明口型可显著提升新手学习者的理解度与自然感。
摘要：
目前的手语虚拟人常被认为不够自然，因为它们无法准确再现人类手语者同步身体动作的所有细微之处。本文提出一种用于手语之间过渡的新动态方法，重点关注葡萄牙手语的口型动画。尽管母语手语者更偏好带有动态过渡的动画，但我们在理解度和感知自然度评分上未发现显著差异。另一方面，我们表明加入口型行为提高了新手手语学习者的理解度和感知自然度。研究结果对计算语言学、人机交互以及手语虚拟人合成动画具有启示意义。
英文摘要：
Current signing avatars are often described as unnatural as they cannot accurately reproduce all the subtleties of synchronized body behaviors of a human signer. In this paper, we propose a new dynamic approach for transitions between signs, focusing on mouthing animations for Portuguese Sign Language. Although native signers preferred animations with dynamic transitions, we did not find significant differences in comprehension and perceived naturalness scores. On the other hand, we show that including mouthing behaviors improved comprehension and perceived naturalness for novice sign language learners. Results have implications in computational linguistics, human-computer interaction, and synthetic animation of signing avatars.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
