Abstract:
Within the framework of the ShoQR project, we analyse human motion with acceleration sensors. In particular, the challenging problem is to infer the knee load during a patient walking. In this report, we investigate ways to extract meaningful information about human gait using the acceleration sensors. Our first approach is applying frequency domain analysis techniques to the sensor measurements. Secondly, we propose a couple of mathematical models of the leg that captures the quality of the knee. Furthermore, we examine the capabilities of the sensors by performing new experiments.