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INNOVATIVE ANTI-BULLYING APPROACH USING EMOTIONAL AND BEHAVIORAL INFORMATION FROM MIXED WORLDS

机译:利用来自混合世界的情绪和行为信息进行创新的反欺凌方法

摘要

Examples of the disclosure provide for calibrating a virtual reality environment based on data input in response to initial calibration prompts to provide a customized detection phase for a behavior analysis session. User interaction data are received during the customized detection phase and is dynamically pushed through a trained machine learning component to generate a dynamic behavior vector for the behavior analysis session, the dynamic behavior vector updating during the customized detection phase. The virtual reality environment is dynamically modified during the customized detection phase using the dynamic behavior vector.
机译:本公开的示例提供了用于响应于初始校准提示而基于数据输入来校准虚拟现实环境,从而为行为分析会话提供定制的检测阶段。用户交互数据是在自定义检测阶段接收的,并通过受过训练的机器学习组件动态推送,以生成用于行为分析会话的动态行为向量,动态行为向量在自定义检测阶段进行更新。使用动态行为向量在定制检测阶段动态修改虚拟现实环境。

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