Improving the efficacy of motion analysis as a clinical tool through artificial intelligence techniques

Abstract

Technology supporting human motion analysis has advanced dramatically and yet its clinical application has not grown at the same pace. The issue of its clinical value is related to the length of time it takes to do an interpretation, the cost, and the quality of the interpretation. Techniques from artificial intelligence such as neural networks and knowledge-based systems can help overcome these limitations. Here, the authors give an overview of these techniques and describe current research efforts that apply these techniques in the field of human motion analysis.