guillherms/human-activity-pose-models

🧠 Human Activity Recognition MLP

This model classifies human activities (reading, waving, office work, etc.) using pose landmarks extracted from MediaPipe Pose.

📊 Architecture

• Multi-Layer Perceptron (Dense NN)
• Input: 132 pose landmark features
• Output: 10 activity classes

🧩 Files

• mlp_pose.h5: Trained Keras model
• label_encoder.pkl: Encodes activity labels

🧠 Author

Created by Guilherme Santos