Michelle G. 2026 | BASIS Independent Silicon Valley
- Project Title: IMU-Based Tennis Swing Tracking, Analysis, and Coaching Feedback
- BASIS Independent Advisor: Wendel
- Internship Location: Salesforce
- Onsite Mentor: Mr. Yi Jin, Software Engineer, Salesforce
As a tennis coach for young children, I have observed that many beginners struggle to master the basic swing motion, often due to challenges with coordination and timing. This observation led me to explore whether my interest in technology could be combined with tennis to create a tool that supports skill development. Through researching existing wearable sensor devices, I found that many current options are either bulky and impractical for use during play or prohibitively expensive, making them inaccessible for young players and community programs.
This project aims to develop an affordable, wireless, IMU-sensor-based wearable system that measures tennis swing kinematics and provides feedback that is usable by coaches and players. By collecting motion data from IMU sensors and processing it using Stanford’s OpenSense software, the system will analyze swing mechanics and compare them to those of a high-level player and generate actionable feedback to help users identify areas for improvement and apply specific corrections to their technique.
