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Human Computer Interaction by Means of Video-based Tongue Protrusion Detection

机译:通过基于视频的舌头突出检测进行人机交互

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摘要

We propose a human-computer communication method based on tongue protrusion. We consider that the normal place of the tongue is inside the oral cavity. Therefore, the appearance of the tongue on the surface of the mouth will communicate the intention of the user to generate an event. This appearance will be detected by our system, by analyzing the changes occurring in the video signal coming from a regular web camera. Three templates are used: a mouth template; and, a left-half mouth sub-template and a right-half mouth sub-template, which were obtained by dividing the mouth template by half. We use the Normalized Correlation Coefficient (NCC) for tracking the mouth region at each frame, and also for comparing the similarity between the new tracked mouth and the original template. When the NCC falls behind a threshold, we assume that the change in the mouth is caused by the tongue protrusion. Then, we analyze both the Left and Right templates NCCs, and we use this similarity measure for detecting whether the tongue was protruded to the left or right side of the mouth. Subsequently, having a positive detection will generate a simple task in the computer. Experiments show that the system is adaptable to different users by being calibrated according to the user's physical characteristics, and that the communication method is easy to learn and perform.
机译:我们提出了一种基于舌头伸出的人机通信方法。我们认为舌头的正常位置在口腔内部。因此,舌头在口腔表面上的出现将传达用户产生事件的意图。我们的系统将通过分析来自常规网络摄像头的视频信号中发生的变化来检测这种外观。使用了三种模板:口模板;左半口子模板和右半口子模板,它们是通过将口模板除以一半而获得的。我们使用归一化相关系数(NCC)跟踪每一帧的嘴巴区域,并比较新跟踪的嘴巴和原始模板之间的相似性。当NCC低于阈值时,我们认为嘴巴的变化是由舌头突出引起的。然后,我们分析左右模板NCC,并使用这种相似性度量来检测舌头是向嘴的左侧还是向右侧伸出。随后,进行肯定检测将在计算机中生成一个简单的任务。实验表明,该系统通过根据用户的身体特征进行校准,可以适应不同的用户,并且通信方法易于学习和执行。

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