Sprint diagnostic with GPS and inertial sensor fusion

Volume: 21, Issue: 4, Pages: 441 - 451
Published: Nov 24, 2018
Abstract
The purpose of this research was to develop a wearable, low-cost prototype based on real-time kinematic GPS and a microelectromechanical inertial measurement unit to measure the sprinting velocity of an athlete. The software package RTKLIB was used to calculate the RTK-GPS positions and different Kalman filters were implemented to provide a loosely coupled sensor fusion. With this setup, we performed empirical studies to determine whether the...
Paper Details
Title
Sprint diagnostic with GPS and inertial sensor fusion
Published Date
Nov 24, 2018
Volume
21
Issue
4
Pages
441 - 451
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