Date of Submission
Project Advisor 1
In the game of golf, practicing and improving the swing is a fundamental part of learning. Unfortunately, analyzing one's swing and all of its features is a costly and difficult task as it involves high speed cameras or the assistance of a coach. This paper presents a novel approach to golf swing analysis using a microelectromechanical system containing sensors that are attached to a golf club. This novel hardware system has been constructed using commercially available components. A displacement estimation algorithm compensates for the errors of the MEMS sensors. The raw data from the sensors is processed using a sensor fusion orientation estimation algorithm and the displacement estimation algorithm. Finally an application has been developed to help visualize the trajectory of the golf swing and give feedback on the swing's key features. The hardware prototype built for the purpose has 9 degrees of freedom, communicates wirelessly and has expandable storage. Because it is both an attitude and heading reference system and an inertial measurement unit its use could be extended to other sports or applications.
Access restricted to On-Campus only
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Kaloferov, Blagoy Yordanov, "Recreating the Trajectory of a Golf Swing Using a Microelectromechanical System" (2013). Senior Projects Spring 2013. 48.
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.Bard Off-campus Download
Bard College faculty, staff, and students can login from off-campus by clicking on the Off-campus Download button and entering their Bard username and password.