The IPHSDM project aims to develop an intelligent, distributed technology infrastructure for remote and personalized home monitoring of people’s health status and well-being through an integrated home automation network of Smart Wireless Sensors connected in the cloud with a centralized system.

The characterizing aspects of the project are multiple:

  • Wearable sensing, characterized by semi-supervised, low-power artificial neural networks enabling remote monitoring and/or assessment of a person’s general condition and health status;
  • Wireless home automation network in Internet of Things (IoT) mode complemented by a home gateway;
  • Distributed Artificial Intelligence based on machine learning methods: single sensor and home network (hub) smart event detection with cloud-managed progressive learning and incremental collaborative personalization;
  • Open but high security protocol for integration of new sensors and devices;
  • Centralized remote home network management system with interaction capabilities in pull (data retrieval for learning) and push (configuration and update) modes;
  • Specific web and mobile interfaces for health check and alert communication for individual stakeholders (caregivers, home caregivers, family members and social circle closest to the caregiver, remote home care workers, technical support);
  • Reference use-case model designed in collaboration with experts in elderly care;

  • Availability of the overall system for remote home care service providers in cloud mode according to a Software as a Service (SaaS) paradigm;

IPHSDM

Project Description:Intelligent Personal Health and
Safety Domotic Monitoring

Recipient: MTM S.r.l.

Initiative identified to implement the regional law “Diffuse, creative and technological manufacturing 4.0,” as part of Lombardia 5.0 strategy – Policies for the consolidation and enhancement of the excellent supply chains in Lombardia – Policies for the consolidation and enhancement of the excellent supply chains in Lombardia

Goal: Stimulate business collaboration with academia in the perspective of an expanded supply chain, strengthen the technological-organizational and managerial capabilities of SMEs, and enhance and improve export promotion

Action – Supporting R&D Projects aimed at introducing new or improved products and services to enhance the theme of “Smart Living”

Project Description: Development of an intelligent infrastructure capable of providing remote assistance for fall monitoring in the home environment.

  • Study of the cost model and economic sustainability for the provision of effective remote home care services by specialized third parties.

 

Recipients who will benefit from the project are:

  • Remote home care service providers, who will be able to take advantage of a state-of-the-art, shared-cost technology infrastructure;
  • People in need of assistance, who will be able to avail themselves of home care in a greater number of cases without compromising personal safety and comfort levels and at reduced costs thanks to the shared-cost model offered to service providers;
  • Family members and the close social circle that gravitates around people needing care who will be able through dedicated interfaces to also be active participants in the care of their loved ones.

The proposed system certainly falls within the scope of home automation aimed at fostering the autonomy of the virtual due to varying degrees of disability per person. The caregivers who benefit, come out of isolation recover an active role within their own home, having the opportunity to live an independent life without compromising well-being, health and personal safety.

The proposed solution adopts a shared-cost approach that broadens the audience of those who will be able to offer the service (service providers), promoting competition and consequently lowering costs for the assisted.

The wireless smart sensor home automation network is designed for adaptable configuration to the specific needs of the person, whose real needs are being met. An adaptive capability is also offered that is progressive achieved through the application of artificial intelligence techniques.

In addition to the benefits in terms of cost reduction and increased security for remote home care for people, the proposed system can make use of the sharing of data collected through the deployed sensorics to facilitate a more effective use of machine learning techniques by being able to make use of a more extensive and continuously growing database (big data of sensorics in real conditions).

 

 

Partners: