eSports中数据分析的传感器和博弈同步
Sensors and Game Synchronization for Data Analysis in eSports
摘要：
电子竞技行业在过去十年中在观众和资金增长，广播，网络和硬件方面取得了很大进展。由于专业团队的数量和质量也在不断发展，因此需要改进专业电子竞技运动员的技能和训练过程。在这项工作中，我们展示了一个系统，能够收集异构数据（生理，环境，视频，遥测），并以10毫秒的精度实现同步。特别是，我们演示了如何同步各种传感器，并确保后期同步，即记录的视频，所谓的演示文件，与传感器数据。我们在CS：GO游戏规则上取得的实验结果显示，游戏计算机的时间同步精度高达3 ms。
英文摘要：
eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professional team has evolved too, there is a reasonable need in improving skills and training process of professional eSports athletes. In this work, we demonstrate a system able to collect heterogeneous data (physiological, environmental, video, telemetry) and guarantying synchronization with 10 ms accuracy. In particular, we demonstrate how to synchronize various sensors and ensure post synchronization, i.e. logged video, a so-called demo file, with the sensors data. Our experimental results achieved on the CS:GO game discipline show up to 3 ms accuracy of the time synchronization of the gaming computer.
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