Design and implementation of sitting posture monitoring system

摘要

In order to remind the sedentary workers to count the health data, a sitting posture monitoring system is designed. The single chip microcomputer collects the sensor array data, uploads the data to the server through Wi Fi, carries on the sensor array data fusion in the server, and the software displays the sitting posture information and the statistical results. The feedforward neural network is used as classifier to recognize nine kinds of sitting posture. The recognition rate is 90.643%. It can prompt the user's sitting posture in real time and count the sitting posture data.