Machine learning for acquired brain damage treatment

Abstract:

This article presents an alternative rehabilitation system based on a visual feedback system for people suffering from cerebral palsy disorder. The proposed feedback system handles textures and movements in a 3D graphic environment, specially designed to develop skills that improve patient performance. The interface is developed in the Unity3D software, identifying patterns of the body is done through motion Kinect and validation of the correct execution of the exercises sensor is carried out, using the technique of machine learning for training rehabilitation system. The experimental results show the efficiency of the system that generates an improvement in the motor abilities of the upper and lower extremities of the patient.

Año de publicación:

2019

Keywords:

• Machine learning
• Virtual Reality
• Cerebral palsy

Fuente:

scopus