This project contains the code for various feature extraction methods used to extract feature from 4 kinds of Sensors(Accelerometer, Gyroscope, Orientation and EMG). Feature Extraction methods used were Discrete Fourier Transform, Discrete Wavelet Transform, Discrete Cosine Transform, Power Spectral Density and Piece Wise Aggregation. It also contains the code to visualize the extracted features as Grouped Box Plots for a "Gesture" Vs "Not of Gesture" which gives an interesting way to find out important features. PCA is also implemented and similarly visualized to find and understand the meaning of each Principal Component.