A Model Based Neurorehabilitation (MBN) Framework using Kinect

Abstract

Neurological disorders are frequently reported across the world. Patients affected with neurological disorders requires a definite rehabilitation. Various speech and auditory rehabilitation systems have been developed over the period and reported in literature as well. However, modern technological trends require prompt development of complex systems with simplicity. Model Driven Architecture (MDA) has served the purpose for variety of domains and the area of Neurorehabilitation also requires exploration in the context of MDA. This article introduces an MBN (Model-Based Neurorehabilitation) framework. It consists of a meta-model, tree editor, Sirius based graphical modeling tool with drag and drop palette and a model to text transformation engine that transforms the modeled scenario into java code. The framework has the capability to assign various activities like physiotherapy sessions for patients having neuro disorders using Kinect Sensor V2. Currently, our Sirius based graphical modeling tool allows modeling and visualization of various activities that are assigned to patients in order to overcome a specific disorder. The validity of proposed framework is demonstrated via a case study The results from the case study prove that our framework is very effective and capable of modeling and visualizing activities successfully.