WEARABLE DEVICE WITH A HUMAN ACTIVITY RECOGNITION SYSTEM AND A HUMAN ACTIVITY RECOGNITION METHOD FOR DETERMINING THE HUMAN ACTIVITY OF A USER WEARING THE WEARABLE DEVICE

Human activity recognition (HAR) method for determining the human activity of a user wearing a wearable device (100) wherein such a wearable device () comprises at 10 least one sensor (121) which is configured to detect a movement along at least one axis of a tridimensional Cartesian reference system and to generate a corresponding detection signal, a processing and control unit (122) associated to the at least one sensor (121), 15 said HAR method comprising the steps: - receiving the detection signals  , & ,  generated by the at least one sensor (121), where T is the size of the detection time interval and t indicates a time instant; 20 - classifying the activity of the user by executing a HAR machine learning algorithm comprising multi-class classification task T(0) wherein the execution of said multi-class classification task T(0) is carried out by executing a plurality of  sub-tasks {  , & ,   } according 25 to a hierarchical scheme, the execution of each one of the  sub-tasks {  , & ,   } being carried out by sequentially executing a single feature extractor (FE) module and a following respective fully connected (FC) module.