An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation

TL;DR

This paper introduces ReHabGame, a serious game with an adaptive fuzzy logic controller that personalizes motor rehabilitation exercises for neuromuscular disorder patients, enhancing assessment and therapy through sensor data analysis.

Contribution

It presents a novel adaptive fuzzy logic system integrated into a serious game for personalized neuromuscular rehabilitation, improving upon traditional therapy methods.

Findings

The system accurately monitors and adapts to patient movements.

It autonomously learns optimal difficulty levels for individual patients.

Preliminary results suggest improved engagement and tailored therapy.

Abstract

Rehabilitation robotics combined with video game technology provides a means of assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The current work presents ReHabGame, a serious game using a fusion of implemented technologies that can be easily used by patients and therapists to assess and enhance sensorimotor performance and also increase the activities in the daily lives of patients. The game allows a player to control avatar movements through a Kinect Xbox, Myo armband and rudder foot pedal, and involves a series of reach-grasp-collect tasks whose difficulty levels are learnt by a fuzzy interface. The orientation, angular velocity, head and spine tilts and other data generated by the player are monitored and saved, whilst the task completion is calculated by solving an inverse kinematics algorithm which orientates the upper limb joints of the avatar. The different values in upper body quantities of movement provide fuzzy input from which crisp output is determined and used to generate an appropriate subsequent rehabilitation game level. The system can thus provide personalised, autonomously-learnt rehabilitation programmes for patients with neuromuscular disorders with superior predictions to guide the development of improved clinical protocols compared to traditional theraputic activities.