Intelligent Physiotherapy Through Procedural Content Generation

TL;DR

This paper explores how artificial intelligence, procedural content generation, and player modeling can enhance physiotherapy by improving rehabilitation programs and accurately measuring patient progress using motion sensors and virtual reality.

Contribution

It introduces a novel approach integrating procedural content generation and player modeling into physiotherapy applications for motor impairment rehabilitation.

Findings

Enhanced quality of rehabilitation programs

Improved measurement of patient performance

Potential for personalized therapy experiences

Abstract

This paper describes an avenue for artificial and computational intelligence techniques applied within games research to be deployed for purposes of physical therapy. We provide an overview of prototypical research focussed on the application of motion sensor input devices and virtual reality equipment for rehabilitation of motor impairment an issue typical of patient's of traumatic brain injuries. We highlight how advances in procedural content generation and player modelling can stimulate development in this area by improving quality of rehabilitation programmes and measuring patient performance.