Honors Theses


James Worth Bagley College of Engineering


Department of Electrical and Computer Engineering


Bachelor of Science (B.S.)


Computer Engineering

Document Type

Honors Thesis


A golf swing is biomechanically complex. Professional swing training is expensive for the average golfer. With the growing development of small inertial sensors and powerful microprocessors with built-in wireless communication protocol support, embedded devices are becoming suitable for tough tasks like motion tracking. The proposed solution consists of a sensor-packed golf glove. To evaluate the efficacy of the proposed solution, a recurrent neural network is developed that uses a learning model to identify golf swings that produce a slice, the most common golf swing error. A motion capture system was used as the professional baseline for the evaluation. Barely falling short of the professional solution’s performance, the proposed solution showed potential to become a portable and economical alternative.

Publication Date


First Advisor

Ball, John E.

Second Advisor

Burch V, Reuben F.

Third Advisor

Elder, Anastasia