Human Activity Recognition from Raw Accelerometer Data
Python, C++, NumPy, SciPy, pandas, scikit-learn, Matplotlib
- I built a lightweight human activity recognition system that classifies everyday physical activities directly from raw three-axis accelerometer measurements. Rather than relying on the precomputed features provided with the UCI HAR dataset, I developed the signal-processing and feature-engineering pipeline from the raw sensor signals and evaluated models using subject-independent testing. The project also explores the tradeoff between model accuracy and resource usage for embedded systems.