Aimed at the defects of low accuracy of motion pattern recognition and large volume of measuring equipment, a motion pattern recognition system based on MPU6050 and pressure sensor is designed, and the overall structure of the system is given. The system takes nRF2401 wireless transmission module as the node to transmit the pressure and acceleration data collected by the data acquisition system to the data processing system. After preprocessing the data, the system extracts the eigenvalues, passes them into the double classification model based on SVM, corrects the model parameters, and achieve the task of motion pattern recognition. Experiments show that the system has small volume, high accuracy, and the accuracy is as high as 92%, which is obviously superior to the model using pressure data and classification model based on SVM.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.