Tennis Stroke Classification Using Myo Armband
by Lisa Baily and Phong Nguyen
Abstract – This paper presents the methods and results of the classification of tennis strokes. We chose to incorporate tennis into this project and chose to classify the different tennis strokes. We collected the data by using an armband sensor Myo, and gathered data on four different features: the acceleration, the gyroscope, the quaternion, and the EMG. By using a supervised learning model, Support Vector Machine (SVM), we were able to classify very accurately on the strokes of a tennis swing. Moving forward, we want to further improve our project by being able to analyze the player’s winning shots and their losing shots to improve one’s play.