Human urban mobility classification in AAL deployments using mobile devices
Martin Kodyš, Pau Oliver, Joaquim Bellmunt, Mounir Mokhtari · 2017
Urban Living environments put technologies at disposal of citizens to simplify their daily outdoor activities. Understanding mobility and adjusting it are major enablers to assist the elderly, dependent and frail people while they are outdoors. We propose in our research to extend our indoor Ambient Assisted Living (AAL) framework by integrating mobility detection using a smartphone. We aim at understanding the outdoor behaviour of an individual and classify their mobility in terms of active and passive mobility. We present a mobility classifier following paradigm of Smart Mobility; definition of active and passive mobility; materials and experiments for training the model reaching accuracy of 95% for specific activities; and the future perspectives to integrate this model within a real deployment pilot site.