title: How to Store Accelerometer Data for Classification by using Machine Learning
body: <p>I am developing an Android application that uses raw accelerometer data and I want to classify the data by using machine learning, i.e. Azure ML service. For example when device moves like a 1 in space, it should generate number 1 in text field specified in application. I decided to use Machine Learning to classify movements but I couldn't decide how to store data and send it to the machine learning service for training. For now, I am creating an SQLite table in application and add the X,Y,Z value of sensor each time sensor data gets changed. After that I am sending data to machine learning service but I have problem. The data only includes one movement for 1. How can I store multiple data for same movement and data for other movements -that will represent different numbers like 2, 3- and send them to the machine learning service?</p>