An Intelligent System for Detecting a Person Sitting Position to Prevent Lumbar Diseases

The present system shows a position detection of a person in the sitting position by means of an accelerometer sensor and the implementation of data analysis stages of prototype selection and supervised classification. As a result, an optimal training matrix with a 100% classification performance is obtained. Finally, an interface is presented that shows the own decision of the system.