IPS: Integrating Pose with Speech for enhancement of body pose estimation in VR remote collaboration

Seoyoung Kang, S. Jeon, Woontack Woo
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Abstract

We propose a Speech-Pose integration method to overcome the limitation of existing body pose estimation. Unlike previous Speech-based gesture generation method, our proposal reflects the user's actual pose using a vision-based system and speech as a subsidiary. When the system detects the camera out of sight, we carry out a context-aware method analyzing the speech. The system determines the target pose and connects it with the last pose captured by the camera using the bounding box. Our system can be a robust solution for avatar-mediated remote collaboration which requires accurate gesture delivery such as VR remote yoga training.
IPS:姿态与语音集成增强VR远程协作中身体姿态估计
为了克服现有身体姿态估计方法的局限性,提出了一种语音姿态集成方法。与之前基于语音的手势生成方法不同,我们的提议使用基于视觉的系统和语音作为辅助来反映用户的实际姿势。当系统检测到摄像机不在视线范围内时,我们对语音进行了上下文感知分析。系统确定目标姿态,并使用边界框将其与相机捕获的最后一个姿态连接起来。我们的系统可以成为虚拟化身介导的远程协作的强大解决方案,这需要精确的手势传递,如VR远程瑜伽训练。
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