Mirror Game - CC Measure

Code used in the Mirror Game project to automatically detect Co-Confidence (CC) motion. See details in (Noy, Binun &Golland, 2015).The code is published here in order to describe the exact details of the alogrithm. Some of the functions might need other toolboxes to run. I tried to put all needed functions here, contact me if something is missing.The two main function that compute the CC detection are:MG_Tools_CC_AZCMG_Tools_Segments_Acc_Zero_CrossSee inside the code for detailed informationRef:L. Noy, N. Levit-Binun, and Y. Golland, “Being in the zone: physiological markers of togetherness in joint improvisation”, Frontiers in Human Neuroscience, 9:187, 2015本代码为镜像游戏（Mirror Game）项目中用于自动检测协同置信度（Co-Confidence，CC）动作的实现代码。详细信息可参见(Noy, Binun & Golland, 2015)。本代码在此发布，旨在完整阐明该算法的具体细节。部分函数运行时需依赖其他工具包。我已尽可能将所有所需函数收录于此，若存在缺失内容，可联系我。用于实现CC检测的两个核心函数为：MG_Tools_CC_AZC、MG_Tools_Segments_Acc_Zero_Cross。具体细节可查阅代码内部注释。参考文献：L. Noy、N. Levit-Binun 与 Y. Golland，《处于默契之中：联合即兴互动中的生理联结标记物》，《人类神经科学前沿》（Frontiers in Human Neuroscience），9:187，2015年。