A framework for comprehensive analysis of a swing in sports using low-cost inertial sensors
Ahmadi, Amin, Destelle, Francois, Monaghan, DavidORCID: 0000-0002-5169-9902, O'Connor, Noel E.ORCID: 0000-0002-4033-9135, Richter, Chris and Moran, KieranORCID: 0000-0003-2015-8967
(2014)
A framework for comprehensive analysis of a swing in sports using low-cost inertial sensors.
In: IEEE SENSORS 2014, 2-5 Nov 2014, Valencia, Spain.
We present a novel framework to monitor the three- dimensional trajectory (orientation and position) of a golf swing using miniaturized inertial sensors. Firstly we employed a highly accurate and computationally efficient revised gradient descent algorithm to obtain the orientation of a golf club. Secondly, we designed a series of digital filters to determine the backward and forward segments of the swing, enabling us to calculate drift-free linear velocity along with the relative 3D position of the golf club during the entire swing. Finally, the calculated motion trajectory was verified against a ground truth VICON system using Iterative Closest Point (ICP) in conjunction with Principal Component Analysis (PCA). The computationally efficient framework present here achieves a high level of accuracy (r = 0.9885, p < 0.0001) for such a low-cost system. This framework can be utilized for reliable movement technique evaluation and can provide near real-time feedback for athletes in various unconstrained environments. It is envisaged that the proposed framework is applicable to other racket based sports (e.g. tennis, cricket and hurling).