Predicting physical activity based on smartphone sensor data using CNN LSTM

Today we want to look at how smartphones, smart-watches and the like are able to predict what kind of activities you're doing based on sensor data and try to reproduce this process. The possibilities range from sport or health applications to games like Pokémon Go, to name a few. Most modern smartphones have an accelerometer and a gyroscope. An accelerometer measures changes in velocity and changes in position, whereas a gyroscope measures changes in orientation and changes in rotational velocity. For this task we use a dataset from UCI.