[POSTER] Avatar-Mediated Contact Interaction between Remote Users for Social Telepresence

Jihye Oh, Yeonjoon Kim, Taeil Jin, Sukwon Lee, Youjin Lee, Sung-Hee Lee
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Abstract

Social touch such as a handshake increases the sense of coexistence and closeness between remote users in a social telepresence environment, but creating such coordinated contact movements with a distant person is extremely difficult if given only visual feedback, without haptic feedback. This paper presents a method to enable hand-contact interaction between remote users in an avatar-mediated telepresence environment. The key approach is, while the avatar directly follows its owner's motion in normal conditions, it adjusts the pose to maintain contact with the other user when the two users attempt to make contact interaction. To this end, we develop classifiers to recognize the users' intention for the contact interaction. The contact classifier identifies whether the users try to initiate contact when they are not in contact, and the separation classifier identifies whether the two in contact attempt to break contact. The classifiers are trained based on a set of geometric distance features. During the contact phase, inverse kinematics is solved to determine the pose of the avatar's arm so as to initiate and maintain natural contact with the other user's hand. Our system is unique in that two remote users can perform real time hand contact interaction in a social telepresence environment.
[海报]社交网真远程用户的虚拟媒介接触互动
在社交远程呈现环境中,握手等社交接触增加了远程用户之间的共存感和亲近感,但如果只给予视觉反馈而没有触觉反馈,那么与远程用户创建这种协调的接触动作是极其困难的。本文提出了一种在虚拟化身介导的远程呈现环境中实现远程用户之间的手接触交互的方法。关键的方法是,在正常情况下,化身直接跟随主人的动作,当两个用户试图进行接触互动时,它会调整姿势以保持与另一个用户的接触。为此,我们开发了分类器来识别用户对接触交互的意图。接触分类器识别用户在不接触时是否试图发起接触,分离分类器识别两个接触者是否试图断开接触。分类器是基于一组几何距离特征来训练的。在接触阶段,求解逆运动学来确定虚拟人物手臂的姿势,从而启动并保持与另一个用户的手的自然接触。我们的系统的独特之处在于两个远程用户可以在社交远程呈现环境中进行实时手接触交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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