Basketball Offensive Action Recognition System
Best Poster Award of Taiwan Computer-Human Interaction Conference 2018. A Real-time Basketball Offensive Action Recognition System Based on IMU Sensor.
Best Poster Award of Taiwan Computer-Human Interaction Conference 2018. A Real-time Basketball Offensive Action Recognition System Based on IMU Sensor.
This is a VR basketball offensive action training system designed to minimize the required number of people for basketball tactical training. The VR headset and 360-degree video created an immersive environment to emulate the situation a basketball player might encounter on a basketball court. Using the Noitom sensor-suit to capture full-body motion trajectories, the system can detect and classify the user's action, and determine if the user reacts correctly in the given situation.
2
Programmer
C++, C#
Recognition system training data collection
Recognition system training
Recognition system construction
360-degree video recording