Basketball Game Activities recognition (HAR) using Classical Machine Learning techniques and also Deep Learning algorithms and a brief comparison between them.
• 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 and Stratified splitting technique and performed per-subject and cross-subject validations.
• Trained and worked on optimization of KNN, SVM, CNN, and LSTM networks.