AMICA - Activity Monitoring and Coaching Application
Digiotouch (DT) experiment proposal "Activity Monitoring and Coaching Assistant" (AMICA) has been approved as a part of EU H2020 ACTIVAGE Project 1st Open Call. AMICA addresses the challenge of daily activity monitoring of elderly people in multi-occupancy scenarios of the ACTIVAGE project. Our prototype mobile application PAL will be significantly extended to achieve AMICA powered by Cloud based, secure Paradise IoT Platform. AMICA services aim to offer physical activity recognition for users both in the outdoor and indoor scenarios by the use of Transfer Learning approach.
DT will use the data available from the AIoTES architecture to train a model on the Paradise IoT Platform and perform classification on smart devices owned by users (outdoor scenarios) or on the gateways (Edge Computing Servers) of the Deployment Sites (DS) (indoor scenarios). The training and classification are performed in a GDPR compliant privacy aware framework. The physical activities recognized are further used to provide healthy coaching (e.g. improving lifestyle, reducing stress) to the users, enabled by our smart device application. DT proposes interactive AMICA application where it monitors the user’s activities to learn the suitability of the recommended coaching measures.
About ACTIVAGE - It is a European Multi Centric Large Scale Pilot on Smart Living Environments. The main objective is to build the first European IoT ecosystem across nine DS in seven European countries, reusing and scaling up underlying open and proprietary IoT platforms, technologies and standards, and integrating new interfaces needed to provide interoperability across these heterogeneous platforms, that will enable the deployment and operation at large scale of Active & Healthy Ageing IoT based solutions and services, supporting and extending the independent living of older adults in their living environments, and responding to real needs of caregivers, service providers and public authorities. ACTIVAGE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732679.