Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.
This project is on classifying the type of badminton stroke player played using the data collected from a small wrist device. This device gives us accelerometer and gyroscope data and is attached to the player's wrist. This project was part of Data Analytics course we did at IISc. And it involved everything from data collection, cleaning up till the final ML model evaluation.
This jupyter notebook explains "what we did?" and "how we did it?" (the code).
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