Presented is an accurate swimming velocity estimation method using an inertial measurement unit (IMU) by employing a simple biomechanical constraint of motion along with Gaussian process regression to deal with sensor inherent errors. Experimental validation shows a velocity RMS error of 9.0 cm/s and high linear correlation when compared with a commercial tethered reference system. The results confirm the practicality of the presented method to estimate swimming velocity using a single low-cost, body-worn IMU.
Inspec keywords: biomechanics; velocity measurement; inertial systems; motion estimation; correlation theory; measurement systems; motion measurement; least mean squares methods; measurement errors; estimation theory; regression analysis; Gaussian processes
Other keywords:
regression analysis;
sensor inherent error;
pervasive swimming velocity estimation;
RMS error;
body worn IMU;
Subjects: Interpolation and function approximation (numerical analysis); Spatial variables measurement; Spatial variables measurement; Numerical approximation and analysis; Velocity, acceleration and rotation measurement; Other topics in statistics; Biomechanics, biorheology, biological fluid dynamics; Probability theory, stochastic processes, and statistics; Instrumentation and measurement systems; Velocity, acceleration and rotation measurement