It can detect the human activity only from smartphone sensor data.
Dataset has been obtained from kaggle.
Classifier used is SVM with linear kernel, which showed the best accuracy of 96.33%.
Variance Threshold is used for feature selection which reduced the accuracy of results, explaining that each of the feature is important for the detection.
PCA and KernelPCA are used for feature engineering which also showed no improvements in the results.