Development of simple jaw-tracking system that applies pattern recognition technology

我们试图建立一个神经网络算法来推测切缘运动从口周运动，以开发一个新的下颌跟踪系统，没有复杂的设备周围的受试者的嘴。将用于检测用于控制的具有10 mm直径的圆的下颌运动的标记物附接到下颌切牙以检测真实的下颌运动，并且将八个相同的标记物附接到受试者的嘴周围以检测口周运动，从而通过神经网络算法估计下颌运动。在受试者面前用数码摄像机记录1次侧缘运动和最大开口度用于神经网络学习，4次侧缘运动和最大开口度用于验证。在用于学习的运动中，神经网络软件（Neurosim/L，Fujitsu）学习切部运动和口周运动之间的关系。在用于验证的运动中，通过使用学习的神经网络从口周运动推测切缘运动。将假设的切缘坐标与测量的切缘坐标进行比较，并进行简单的回归分析。利用神经网络从口周运动中推测切缘运动的y值，具有较高的精度。在横向运动中，它们的x值也被高精度地假定。然而，在最大开口和咀嚼口香糖时，x值不精确。这可以通过修改神经网络的学习方法来改进。结果表明，利用神经网络可以从口腔组织的运动推断出切缘的运动。

We are attempted to establish a neural-network algorithm to presume incisal movement from peri-oral movements in order to develop a new jaw-tracking system without complicated devices around subject's mouth. A marker to detect jaw movements for control, with a circle of 10 mm diameter, was attached to the mandibular incisors to detect real jaw movements and eight same markers were attached around the subject's mouth to detect peri-oral movements to estimate jaw movements by neural network algorithm. Lateral border movement and maximum opening one time for neural network learning and four times of them and masiticatory movements for verification were recorded by a digital camcorder in front of the subject. In the movement for learning, neural network software (Neurosim/L, Fujitsu) learned the relation between the incisal movements and peri-oral movements. In the movements for verification, incisal movements were presumed from the peri-oral movements by using the learned neural network. Presumed incisal coordinates and measured incisal coordinates were compared and simple regression analyses were carried out. The y values of the incisal movements are presumed from peri-oral movements by utilizing neural network with high precision. In lateral movements, the x values of them are also presumed with high precision. However, in maxmum opening and gum chewing, the x values were not precise. This may be improved by modification of the learning methods of the neural network. It was suggeted that the incisal movement can be presumed from the movement of the peri oral tissue by the neural network.