Knowledge extraction for movement analysis data – example in clinical gait analysis

INTRODUCTION A major challenge in the field of human movement analysis is the interpretation of data acquired. For example, this interpretation could lead to optimization of ? performances in sport, to better space organization in ergonomic or to define therapeutic planes in medicine. The large amount of data provided by motion capture devices makes interpretation a difficult task for human reasoning [1]. Techniques of artificial intelligence could decrease the subjectivity and give a helpful tool for interpretation. The aim of this study is to provide a method to link a movement with the elements of interpretation of this movement. For ? In application example, toe-walking (in children?) considered as a major gait deviation in many diseases will be linked with its possible clinical causes come from patient examination? [2] (si on peut en metre 2...)