City4Age ontology model

Module/Solution OverviewThe City4Age ontology model may be described as a specification of a conceptualization or a description of the concepts and relationships that may exist in the context of the City4Age project. It has been developed as an ontology-based model that integrates other modelling proposals generated in the context of the project to achieve harmonization among these models. This...

City4Age Geriatric Risk Model

Module/Solution OverviewThe City4Age Geriatric Risk Model builds on current medical knowledge and provides a computational description of the determinants of MCI and Frailty in aging people.The model consists of a number of Geriatric Factors (GEFs), possibly subdivided into Geriatric Sub-factors (GESs), that parallel several functional domains that have been demonstrated to possess relevant...

City4Age inter-activity behaviour modelling algorithm

Module/Solution OverviewThe City4Age inter-activity behaviour modelling algorithm has been designed to model the users’ behaviour following a stochastic approach and to be able to detect unusual patterns in the users’ everyday actions. It works over the actions that have been captured by the IoT infrastructure in the pilot sites and stored in the City4Age shared repository.InnovationThe City4Age...

City4Age Activity Recognition

Module/Solution OverviewThe City4Age activity recognition is able to recognise activities from Low Elementary Actions executed by a user. Activities can be defined by geriatricians or health carers using the Expert Activity Models, where concepts like actions, locations, duration and starting time have to be provided. Once Expert Activity Models are defined, the activity recognition module will...