【摘要】 人体生理结构中第7颈椎点骨骼不突出,位置难寻找,导致该部位高度测量困难。基于苏州大学人体测量实验团队获得的人体数据,用Python语言对其进行数据预处理、数据挖掘以及回归分析。通过建立身高、侧颈点高、下颌高、腰高与第7颈椎点高的多元线性回归关系,预测出第7颈椎点的高度,并对回归模型进行评估和优化,为当前非接触式人体测量仪在获取第7颈椎点高度时遇到的问题提供一种解决思路和研究方法。更多还原

【Abstract】 Due to the physiological structure of the human body,the bone at the seventh cervical vertebrae point is not prominent,and the position is difficult to find,which makes it difficult to measure the height of this site. In this paper,the data preprocessing,data mining and regression analysis were performed in Python language based on the human body data obtained by the anthropometric experiment team of Soochow University. The height of the seventh cervical vertebrae was predicted by establishing a multiple linear regression among height,lateral neck height,mandibular height,waist height and seventh cervical vertebrae height,and the regression model was evaluated and optimized. It provides a solution and research method for the problems encountered by the current non-contact anthropometer in obtaining the height of the seventh cervical vertebrae.更多还原