ACTIVAGE
ACTivating InnoVative IoT smart living environments for AGEing well
Duration
Start: Jan-2017
End: Sep-2020
Description
ACTIVAGE is a European Multi Centric Large Scale Pilot on Smart Living Environments. The main objective is to build the first European IoT ecosystem across 9 Deployment Sites (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. The project will deliver the ACTIVAGE IoT Ecosystem Suite (AIOTES), a set of Techniques, Tools and Methodologies for interoperability at different layers between heterogeneous IoT Platforms and an Open Framework for providing Semantic Interoperability of IoT Platforms for AHA, addressing trustworthiness, privacy, data protection and security. User-demand driven interoperable IoT-enabled Active & Healthy Ageing solutions will be deployed on top of the AIOTES in every DS, enhancing and scaling up existing services, for the promotion of independent living, the mitigation of frailty, and preservation of quality of life and autonomy. ACTIVAGE will assess the socio-economic impact, the benefits of IoT-based smart living environments in the quality of life and autonomy, and in the sustainability of the health and social care systems, demonstrating the seamless capacity of integration and interoperability of the IoT ecosystem, and validating new business, financial and organizational models for care delivery, ensuring the sustainability after the project end, and disseminating these results to a worldwide audience. The consortium comprises industries, research centres, SMEs, service providers, public authorities encompassing the whole value chain in every Deployment Site.
Estimated Impact
TBC
Participation
ActivAGE project (Smart Health) developing a prototype based on ESP32 to detect elderly falls using Deep Learning (Python-TensorFlow-C programming languages). Implementing a Fall detection system using an IoT architecture following the IoT-Edge-Cloud Continuum.
Cordis
Link: https://cordis.europa.eu/project/id/732679
References
2020
- IoTHighly-efficient fog-based deep learning AAL fall detection systemInternet of Things, Feb 2020
2019
- WF-IoTEfficient Deployment of Predictive Analytics in Edge Gateways: Fall Detection ScenarioIn 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Apr 2019
2018
- IEEE ACCESSA Smart System for Sleep Monitoring by Integrating IoT With Big Data AnalyticsIEEE Access, Apr 2018
- ElsevierSystem for monitoring and supporting the treatment of sleep apnea using IoT and big dataPervasive and Mobile Computing, Oct 2018