/Long-term-activity-detection-from-the-wrist-using-Deep-Learning-and-Machine-learning-Algorithms

Human activity recognition using Deep learning approaches

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Human activity recognition using Deep Learning and Machine Learning Algorithms.

  • Fused the data from e-sense and bangle.js sensors together after data cleaning, handling missing data, and resampling using interpolation.
  • Implemented Sliding window technique to extract features.
  • Trained and worked on optimization of CNN nad Random Forest algorithm on multivariate time series data to classify basketball activites.