Combining wearable physiological and inertial sensors with indoor user localization network to enhance activity recognition
Laura Fiorini, Manuele Bonaccorsi, Stefano Betti, Dario Esposito, Filippo Cavallo · Journal of Ambient Intelligence and Smart Environments · 2018
Thanks to the pervasiveness of smart technologies, researchers could aggregate data and investigate user's activities thus to deliver personalized home-care services.Activity recognition system have been widely developed, however some challenges still need to be addressed.This paper presents a system where information on body movement, vital signs and user indoor location are aggregated to improve the activity recognition.The system was tested in a realistic environment with a total of 3279 instances acquired from ten healthy users.These results encouraged the use of this approach in activity recognition applications, indeed, the overall accuracy values are satisfactory increased.