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human-activity-recognition's Introduction

Human Activity Recognition

Datasets used 📝

  • MPII Human Pose Dataset.
  • UCI Human Activity Recognition Using Smartphones Data Set.

Two approaches 🔍

  • Static: Pictures (Deep learning methodology: Convolutional Neural Networks).
  • Dynamic: Smartphone sensor data (Machine learning methodology: Logistic Regression, Support Vector Machine, Random Forest).

Next steps ⏭

  • Use more epochs for training the last model.
  • Increase the number of filters in the convolutional layers.
  • Expand the dataset.
  • For the dynamic approach, use different strategies and another dataset.

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