This master thesis work is about the Human Activity Recognition field, which is a part of the Body Area Network. The main purpose of this thesis work is to be able to collect and analyze signals and parameters useful for recognizing human activities performed by users. To do this, MotionDataLogging, a WatchKit App was developed using an Apple Watch Series 2 combined with an iPhone 6; this app allows, by pressing a button, to collect accelerometer data (already deprived of the gravitational component), gyroscope, orientation of the device through the three Euler angles, at a fixed frequency of 50 Hz. The app also allows, through the authorizations provided by the user, to collect data relating to the user’s current speed through the device’s GPS and the user’s heartbeat obtained from the HealthKit package present in the iOS system.