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An embodied interaction robots system based on speech

机译:一种基于语音的嵌入式交互机器人系统

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The concept of an embodied interaction robots system based on speech is proposed for assisting human interaction by generating the motions of robots coherently related to speech. For an essential human interaction model which estimates a listener's nodding on the basis of a speaker's burst-pause of speech, the validity of a moving-average (MA) model is demonstrated in the robustness of prediction. Then, the prototype of the proposed system which consists of 2 interaction robots with both functions of speaker and listener is developed in which two models are incorporated: one is a listener's reaction model in which nodding, blinking and the motions of head, arms and body are estimated by the MA model of the burst-pause of speech to the nodding: the other is a speaker's bodily reaction model in which the motions of head, arms and body are estimated by its own MA model of the burst-pause of speech to the head motion. By the sensory evaluation and behavioral analysis in human-robot interaction, the effectiveness of the robot's bodily interaction is demonstrated. The effectiveness of the embodied interaction robots system is also confirmed in remote communication.
机译:提出了一种基于语音的嵌入式交互机器人系统的概念,用于通过生成与语音相关的机器人运动来辅助人类交互。对于一个基本的人机交互模型,该模型可以根据讲话者的突发语音暂停来估计听者的点头,移动平均(MA)模型的有效性在预测的鲁棒性中得到了证明。然后,开发了该系统的原型,该系统由两个具有演讲者和听众功能的交互机器人组成,其中合并了两个模型:一个是听众的反应模型,其中点头,眨眼以及头部,手臂和身体的动作是通过语音爆发暂停到点头的MA模型来估计的:另一个是说话者的身体反应模型,其中头,臂和身体的运动是通过自己的语音突发暂停的MA模型来估计的。头部运动。通过人机交互中的感官评估和行为分析,证明了人机交互的有效性。远程通信中也证实了所体现的交互机器人系统的有效性。

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