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

  1. IoT
    Highly-efficient fog-based deep learning AAL fall detection system
    David Sarabia-Jácome, Regel Usach, Carlos E. Palau, and 1 more author
    Internet of Things, Feb 2020

2019

  1. WF-IoT
    Efficient Deployment of Predictive Analytics in Edge Gateways: Fall Detection Scenario
    David Sarabia-Jácome, Ignacio Lacalle, Carlos E. Palau, and 1 more author
    In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Apr 2019

2018

  1. IEEE ACCESS
    A Smart System for Sleep Monitoring by Integrating IoT With Big Data Analytics
    Diana C. Yacchirema, David Sarabia-Jácome, Carlos E. Palau, and 1 more author
    IEEE Access, Apr 2018
  2. Elsevier
    System for monitoring and supporting the treatment of sleep apnea using IoT and big data
    Diana Yacchirema, David Sarabia-Jácome, Carlos E. Palau, and 1 more author
    Pervasive and Mobile Computing, Oct 2018