Masticatory Evaluation in Non-Contact Measurement of Chewing Movement
Masticatory Evaluation in Non-Contact Measurement of Chewing Movement
复制标题
非接触式咀嚼运动测量中的咀嚼评价
DOI：
10.1007/978-3-030-27928-8_112
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Chika Sugimoto
中科院分区：
文献类型：
--
作者：
中澤和司;近藤和弘;Chika Sugimoto
由于衰老和疾病引起的咀嚼力下降对健康状况产生负面影响。由于咀嚼功能与饮食习惯密切相关，因此识别咀嚼状态对于检查咀嚼功能非常重要。在这项研究中，方法来分类的特征摄入的食物，计算每一口的咀嚼次数，并验证咀嚼状态的功能测量咀嚼运动与非接触式传感器已经开发。咀嚼运动的路径和节奏进行评估，通过跟踪上的特征点测量与RGB-D相机的脸。利用统计方法和机器学习方法分析了咀嚼运动特征量的重要性。结果表明，用简化的系统测量咀嚼周期时间、张口距离、路径稳定性和节奏稳定性等参数，可以评价咀嚼状态和咀嚼功能。
Decline in masticatory force, which is caused by aging and disease, makes a negative effect on health conditions. As masticatory performance is greatly associated with eating habits, it is important to recognize the chewing states for checking the masticatory function. In this study, the method to classify the characteristics of ingested food, count the number of chewing per one bite, and verify the features of chewing states measuring the chewing movement with a non-contact sensor has been developed. The path and rhythm of chewing movement is evaluated by tracking the feature points on a face measured with an RGB-D camera. The importance of feature quantities extracted from chewing movement was analyzed using statistical approach and machine learning. The results suggested that the chewing states and masticatory function could be evaluated with some parameters such as cycle time, opening distance, and stability of path and rhythm measured with a simplified system.