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BRINGING A VISUAL REPRESENTATION TO LIFE VIA LEARNED INPUT FROM THE USER

机译:通过用户的学习输入来呈现视觉效果以维持生活

摘要

Data captured with respect to a human may be analyzed and applied to a visual representation of a user such that the visual representation begins to reflect the behavioral characteristics of the user. For example, a system may have a capture device that captures data about the user in the physical space. The system may identify the user's characteristics, tendencies, voice patterns, behaviors, gestures, etc. Over time, the system may learn a user's tendencies and intelligently apply animations to the user's avatar such that the avatar behaves and responds in accordance with the identified behaviors of the user. The animations applied to the avatar may be animations selected from a library of pre-packaged animations, or the animations may be entered and recorded by the user into the avatar's avatar library.
机译:可以分析关于人捕获的数据并将其应用于用户的视觉表示,使得该视觉表示开始反映用户的行为特征。例如,系统可以具有捕获设备,该捕获设备捕获有关物理空间中的用户的数据。该系统可以识别用户的特征,倾向,语音模式,行为,手势等。随着时间的流逝,系统可以学习用户的倾向并且智能地将动画应用于用户的化身,使得化身根据所识别的行为来表现和响应。用户。应用于化身的动画可以是从预打包动画库中选择的动画,或者可以由用户将动画输入并记录到化身的化身库中。

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