基于压力传感器与摄像头的颈椎病预防系统

本文设计并实现了一种基于压力传感器与摄像头的颈椎病预防系统.该系统将薄膜压力传感器放置于坐垫中对人体体压进行采集，并使用摄像头采集人类脸部数据.对于坐垫，我们对传感器的布置和数目进行了优化.对于摄像头，我们在多目标识别时通过五官识别减少了系统运算量.在将压力传感器与摄像头两类数据融合之后，我们实现了比单类数据更准确的坐姿识别，进而对颈椎病的危险程度进行估计.我们还使用卷积神经网络实现了对用户的动作检测，可引导用户完成一系列动作用于评估颈椎病危险程度.系统实现小巧美观，采用非侵入式的方法，非常适合于在办公室环境下的颈椎病早期预防.

Pressure Sensor and Camera Based Cervical Spondylosis Prevention System

This paper designs and implements a cervical spondylosis prevention system based on pressure sensors and the computer camera. This system obtains the body pressure data through a cushion which contains many pressure sensors, and the human face data through a computer camera. We optimize the number and layout of pressure sensors in the cushion, and reduce the computational complexity by image processing by recognizing facial features. By fusing the data from both pressure sensors and camera, this system achieves a more accurate sitting posture recognition, comparting with using pressure sensors and camera separately. The results are further used to estimate the risk level of cervical spondylosis for the users. The system can also guide the users to complete a series of given actions to test their criticality or potential risk of cervical spondylosis. This system is smart, well-designed, and non-invasive, and hence quite applicable to common workplaces.