Machine LearningCoursework
HMM Activity Recognition
Classifying standing, walking, and running with HMMs
About
NTUA Pattern Recognition assignment 3. Hidden Markov Models implemented from scratch (PattRecClasses/) to classify three activities from accelerometer recordings, with a feature-engineered vs raw-signal comparison toggle. Two datasets in JSON format: a richer first recording with clear transitions and a shorter, noisier second one for harder evaluation.
Status
Submitted for NTUA Pattern Recognition. Notebooks reproduce the full analysis.
Stack
PythonNumPyHMMJupyter