Sensors, Vol. 20, Pages 518: A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method

Sensors, Vol. 20, Pages 518: A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method Sensors doi: 10.3390/s20020518 Authors: Amandine Schmutz Laurence Chèze Julien Jacques Pauline Martin With the emergence of numerical sensors in sports, there is an increasing need for tools and methods to compute objective motion parameters with great accuracy. In particular, inertial measurement units are increasingly used in the clinical domain or the sports one to estimate spatiotemporal parameters. The purpose of the present study was to develop a model that can be included in a smart device in order to estimate the horse speed per stride from accelerometric and gyroscopic data without the use of a global positioning system, enabling the use of such a tool in both indoor and outdoor conditions. The accuracy of two speed calculation methods was compared: one signal based and one machine learning model. Those two methods allowed the calculation of speed from accelerometric and gyroscopic data without any other external input. For this purpose, data were collected under various speeds on straight lines and curved paths. Two reference systems were used to measure the speed in order to have a reference speed value to compare each tested model and estimate their accuracy. Those models were compared according to three different criteria: the percentage of error above 0.6 m/s, the RMSE, and the Bland and Altman limit of agreement. The machine learni...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research