Kinect-based Badminton Motion Sensor as Potential Aid for Coaching Strokes in Novice Level

Objectives: In this paper, we explore the potential of Kinect-based motion sensor as an aid for coaching badminton stroke in novice level. Methods: To determine the potential use of Kinect-based motion sensor as an aid for coached, we need to determine the difference between human observation and system analysis on a badminton stroke. Both human observation and system analysis will be used to determine the mistakes made by novice players. Findings: For a coach to properly analyze a stroke movement, multiple tries of action will need to be performed by an athlete in order for the coach to properly recognize the mistakes. Generally, a coach will focus on the important section of the stroke and tries to correct the movement. By utilizing the Kinect-based motion sensor, the system can cover a wider range of area of the human body. The system also properly quantifies the movement so that the coach can determine the severity of the mistake done by the athlete. Manual observation can only provide a qualitative point of view of the movement. Improvement: The system can offer to modes of comparison, benchmarking against different athlete especially better athlete and monitoring consistency of the stroke movement. Improvements can be made to automatically categories the stroke to determine the stroke’s quality.