Synthetized inertial measurement units (IMUs) to evaluate the placement of wearable sensors on human body for motion recognition

Movement data from athletes are useful to quantify performance or more specifically the workload. Inertial measurement units (IMUs) sensors body movements. Sensor placement on human is still an open question that this paper focuses on. A method develops synthesized inertial proposed for determining optimal placement. Comparison between virtual and real achieved. Training motion recognition algorithm exhibits less than 7% difference. This highlights ability of numerical model determine relevant sensor IMUs using sensors.