EVS:一种使用高性能计数器的脑电图视频同步系统

Zhengjie Zhou, Rui Zheng, Huiping Jiang, Guosheng Yang
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引用次数: 0

摘要

本文介绍了一种实现脑电信号和视频信号同步的系统。对于这样的系统,主要的问题是如何实现高精度。我们的解决方案是基于高性能计数器,这是近年来大多数计算机的普通部件。当任何事件发生时,时间戳被记录在每台PC上,而不是同时发送命令,这是普通的方法。在抓取信号之前,通过循环发送短代码来校准时间戳的起始点,以便找到最短持续时间对应的时间戳。实验表明,由系统API得到的振子频率不可靠,需要对每台PC机进行系数标定,结果表明最小二乘法可以达到满意的精度。该系统在情感计算或微表情识别等实际应用中具有潜在的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EVS: An EEG-Video Synchronization System Using High Performance Counter
A system which can synchronize EEG and Video signal is reported in this paper. For such system, the major problem is how to achieve high accuracy. Our solution is based on the high performance counter, which is an ordinary part of most computers in recent years. The time stamp is recorded in every single PC when any event happens instead of sending a command at the same time which is the ordinary method. Before grabbing signals, the start points of time stamp are calibrated by sending a short code circularly in order to find the timestamp corresponding to the shortest duration. Experiments show that the oscillator frequency got by system API is not reliable, so the coefficient has to be calibrated for every PC, and the result show that least square method can achieve satisfied accuracy. The system has potential values in real application, such as affective computing or micro expression recognition.
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