Data Reduction Solution for Driving Simulator.
Data Reduction Solution for Driving Simulator.
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DOI：
10.1109/southeastcon44009.2020.9249691
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发表时间：
2020-03
期刊：
影响因子：
--
通讯作者：
Stavrinos D
中科院分区：
文献类型：
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作者：
Pawar P;Anthony T;McManus B;Stavrinos D
本文描述了已开发和实施的方法，用于处理由与眼动追踪设备集成的高保真驾驶模拟器生成的研究参与者数据。驾驶模拟器用于实验研究以了解驾驶行为。实施解决方案以编程方式处理模拟器的输出，并将这些研究实验的原始数据转换为可供分析的格式。该算法在实验中针对不同场景的众多参与者进行了数据测试，并经过进一步策划，以满足需要使用驾驶模拟器生成数据的研究的要求和标准。
This paper describes the methods that have been developed and implemented to process research participant data generated by a high fidelity driving simulator that has been integrated with eye tracking equipment. The driving simulator is used for experimental studies to understand driving behavior. Solutions are implemented to programmatically process the output of the simulator and transform the raw data from these research experiments to an analysis ready format. The algorithm is tested across the data for numerous participants with varying scenarios within the experiments and is further curated to meet the requirements and standards of the research studies that require the use of driving simulator to generate data.