Personalized feedback based on automatic activity recognition from mixed-source raw sensor data

We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from Chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to derive appropriate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.