Gestures, whether they be whole body or minute, can help serve as an early indicator for several neural disorders such as Parkinson’s disease, cerebral palsy or strokes. To simplify and to streamline early detection, developing a machine learning and deep learning model can allow for easier and more consistent gesture recognition. To do this, data was collected from the accelerometer and gyroscope sensor functions off a phone application like Sensor Recorder (IOS) and Sensor Logger (Android) and data collected from these apps will be in a CSV format used to identify the given gestures of a user to apply as data for a simple model

Sensor Logger, accelerometer and gyroscope data was collected from a user for the following gestures(Target classes):

Walking
Running
Waving
Stretching
Squatting
Jumping
Dancing