Conferencias, Building collaborative links in Engineering

Por defecto: 
“Big data monitoring and tracking: A mobile-based solution to study population activity levels”
Vitaveska Lanfranchi

Construir: IIT
Sala: IIT
Fecha: 2019-11-13 04:00 PM – 05:00 PM
Última modificación: 2019-10-31

Resumen


New digital technologies (e.g. mHealth sensors incorporating 3-dimensional accelerometers) have the potential to be a game changer for measuring activity, providing reliable and objective means to measure mobility in everyday life. In this talk we will describe how mobile technologies and its associated sensors can be exploited to create apps that monitor mobility. Monitoring mobility can be carried out at different levels: micro, i.e. monitoring the body of a person or macro, i.e. monitoring the physical activity of an individual or even at more general level the mobility of a mass of individuals. The data that is collected can be used in numerous fields such as smart cities or healthcare, with different aims. A typical example is to use data about mobility in a city to understand  movement flows around the city (for both active and passive mobility) and therefore being able to plan interventions such as campaigns for sustainable mobility or new cycling routes, using data as evidence base. In healthcare monitoring mobility (often in terms of physical activity of an individual) can provide benefits for patients and clinicians: a) for a patient they can improve self-awareness of their activity levels; b) for clinicians they can enable evidence-based validation of interventions.