In order to realize intelligent surveillance in some places such as sentry and so on, this paper present an approach to multiple human body posture recognition based on Support Vector Machine.
为了实现对边防哨所等场合中无人监控的车辆、人体直立、哈腰、匍匐几种姿态的识别，提出了一种基于支持向量机的多种人体姿态识别方法。
Traditional Ergonomics emphasizes research of the relations between human and machine involving dimension of human body, skeleton, muscle, posture and so on.
传统人机工程学着重对人体本身和人体功能与使用对象之间关系的研究，涉及人体尺寸、骨骼、肌肉、姿势等方面。
The distribution of stress in the sole represents the architecture and function of the foot and posture control of the human body.
人体足底压应力分布反映了有关脚的结构、功能及整个身体姿势控制等信息。
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