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Smart instrumented training ranges: bringing automated system solutions to support critical domain needs

机译:智能仪器培训范围:带来自动化系统解决方案以满足关键领域的需求

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The training objective for urban warfare includes acquisition and perfection of a set of diverse skills in support of kinetic and non-kinetic operations. The US Marines (USMC) employ long-duration acted scenarios with verbal training feedback provided sporadically throughout the training session and at the end in a form of an after-action review (AAR). The inherent characteristic of training ranges for urban warfare is that they are the environments with a high level of physical occlusion, which causes many performances not to be seen by a group of instructors who oversee the training. We describe BASE-IT (Behavioral Analysis and Synthesis for Intelligent Training), a system in development that aims to automate capture of training data and their analysis, performance evaluation, and AAR report generation. The goal of this effort is to greatly increase the amount of observed behavior and improve the quality of the AAR. The system observes training with stationary cameras and personal tracking devices. It then analyzes movement and body postures, measures individual and squad-level performance, and compares it to standards and levels of performance expected in given situations. An interactive visualization component delivers live views augmented with real-time analytics and alerts; it also generates a personalized AAR review in a three-dimensional virtual or mixed reality environment, indexed by automatically extracted salient events and accompanied by summary statistics of unit performance. The approaches presented in the system have the potential to radically change the analysis and performance assessment on physical training ranges and ultimately this type of training itself.
机译:城市战争的训练目标包括获得和完善一套多样化的技能,以支持动能和非动能作战。美国海军陆战队(USMC)采用长时间行动的情景,在整个训练过程中以零散的方式提供口头训练反馈,最后以事后评估(AAR)的形式提供反馈。用于城市战争的训练范围的固有特征是,它们是物理遮挡程度很高的环境,这导致许多监督该训练的讲师无法看到许多表演。我们描述了BASE-IT(智能培训的行为分析和综合),这是一个正在开发的系统,旨在自动捕获培训数据及其分析,性能评估和AAR报告生成。这项工作的目标是大大增加观察到的行为数量并提高AAR的质量。该系统使用固定摄像机和个人跟踪设备观察训练情况。然后分析运动和身体姿势,测量个人和小队水平的表现,并将其与给定情况下预期的标准和表现水平进行比较。交互式可视化组件可提供实时视图,并具有实时分析和警报功能;它还可以在三维虚拟或混合现实环境中生成个性化AAR审查,并通过自动提取的突出事件进行索引,并随附单位性能的摘要统计信息。系统中提出的方法有可能从根本上改变对体育锻炼范围的分析和性能评估,并最终改变这种训练本身。

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