Modeling social interactions for multi-sensory tracking of elders in outdoor environments on ambient assisted living

Ambient Assisted Living (AAL) is an emergent area that provides useful mechanisms that allows tracking elders through sensoring, for example, using mobile devices. It is necessary a permanent attention to these people by caregivers and a growing necessity to create mechanism to support this task. In our proposal, we have a network of caregivers that work together to ensure the wellbeing of elders in their daily activities. This paper aims to model the interaction process of different actors with SafeRoute, an AAL system that pretends monitoring elders in their day-to-day daily living activities in outdoor environments. SafeRoute merges sensor data provided by different sensors built-in mobile devices to provide alert mechanisms for caregivers. We additionally present an upper context ontology to represent general concepts of our context, visualizing the proposed interaction model.