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

机译:POSTER远程用户之间的头像介导的联系人互动,以实现社交网真

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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.
机译:诸如握手之类的社交触摸会增加社交远程呈现环境中远程用户之间的共存感和亲密感,但是如果仅给出视觉反馈而没有触觉反馈,则与远方的人进行这种协调的接触运动是极其困难的。本文提出了一种在化身介导的网真环境中实现远程用户之间的手接触式交互的方法。关键方法是,化身在正常情况下直接跟随其拥有者的动作,但是当两个用户尝试进行接触互动时,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,以识别用户进行联系互动的意图。接触分类器识别用户在不接触时是否尝试发起接触,而分离分类器识别接触的用户是否尝试断开接触。基于一组几何距离特征对分类器进行训练。在接触阶段,解决反向运动学以确定化身的手臂的姿势,从而发起并保持与另一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网真环境中执行实时的手接触式交互。

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