This is a manual task which involved performing the different gestures wearing the wrist sensors which record the data in terms of time series.

This phase involved augmenting raw sensor data, extracting and selecting features from the data to identify different gestures.

This phase involved classifying different actions performed by each user into corresponding gestures using some of the machine learning techniques like decision tree, support vector machine and neural network.

This phase involved classifying different actions performed by all users into corresponding gestures using some of the machine learning techniques like decision tree, support vector machine and neural network.