Non-contact motion measurement of mastication by integration of multiple sensors

通过集成多个传感器对咀嚼运动进行非接触式测量

基本信息

批准号：
07838001
负责人：
KAWASHIMA Toshio
金额：
$ 1.02万
依托单位：
Hokkaido University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1996
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07838001/
关键词：
mastication sensor integration

项目摘要

Motion measurement of lower jaw is important for clinical diagnosis of jaw function. Three dimensional measurement of lower jaw movement is especially important in order to diagnose mastication function which reflects jaw joint status ; these jaw joints are usually unseen from appearance. An altenative of the jaw motion measurement is the measurement of facial motion around lips. The motion obviously reflects mastication-related motion. In the research, we developed a stereo vision facial motion measurement system, and an integration algroithm of multiple sensors in order to diagnose dental disorder from appearance.1) Integration of multiple sensor dataAn integration algorithm has proposed to integrate range-sensor data and stereo vision data. The algorithm is based on Baysian estimation and Kalman filter.2) System for multi-point movement measurement of lips and adjacent regionA multi-point measurement system has developed. In the system, the 3D coordinates of 15 markers stuck to the skin around lips are tracked by a stereo vision. With the system, we analyzed the relationships beween lower-face motion and disorders of jaws, muscles, and occlusion. The method decomposes the time-series data into principal components. Generally, lower-face motion can be precisely described with two or three components.3) The design of realtime measurement systemWe renewed the image capturing system which we developed in the first year. The new lip-motion measurement system can record 10 second image sequences, and analyze the data points in realtime. In the beginning of the research, we planned to use a DSP chip, however, we were able to construct a system without DSP because of the progress of CPU technology.

下颌的运动测量对于下颌功能的临床诊断很重要。下颌运动的三维测量对于诊断反映颌关节状态的咀嚼功能尤为重要。这些下颌关节通常是看不见的。颌骨运动测量的抗态度是测量嘴唇周围的面部运动。该运动显然反映了与咀嚼相关的运动。在这项研究中，我们开发了一个立体视觉面部运动测量系统，并且为了诊断出外观诊断牙齿疾病的整合算法。1）多个传感器数据启动集成算法的整合已提议将范围传感器数据集成范围传感器数据和立体视觉数据。该算法基于Baysian估计和Kalman滤波器。2）用于嘴唇和相邻区域多点测量系统的多点运动测量系统。在系统中，立体声视觉跟踪了15个标记的3D坐标。使用该系统，我们分析了低面运动与颌骨，肌肉和遮挡障碍之间的关系。该方法将时间序列数据分解为主组件。通常，可以用两个或三个组件来精确描述低面运动。3）实时测量系统的设计，我们更新了我们在第一年开发的图像捕获系统。新的唇部运动测量系统可以记录10秒的图像序列，并在实时分析数据点。在研究开始时，我们计划使用DSP芯片，但是，由于CPU技术的进步，我们能够在没有DSP的情况下构建系统。