Pilot Plans & Execution Scenarios of the Smart Home and Ambient Assisted Living Demonstrator

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Pilot Plans & Execution Scenarios of the Smart Home and Ambient Assisted Living Demonstrator

The combined objective of the Smart Home and Assisted Living (SHAL) Demonstrator is to illustrate and implement a services bundle towards advanced holistic monitoring and assisted living management, aiming to improve everyday living and enhance the wellbeing of people belonging to vulnerable groups. The demonstrator is developed in Athens by Hypertech, UBITECH and Suite5, Information and Technology (IT) companies which adopt the AEGIS roles of the service developers and data scientists.

The demonstrator will implement two main services, with respective scenarios, that can be offered by a care service provider to at-risk individuals and/or their (in)formal carers. In particular, the services are the following:

  1. Monitoring and analysis of an individual’s well-being conditions, physical activity, positioning and wearable information and external environment data (e.g. weather, crime, news, social media), towards provision of a service for personalized notification and recommendation system for at-risk individuals, including notifications for carers.
  2. Additional service pertaining monitoring and analysis of weather, indoor environmental conditions, energy and operational device data towards the provision of a smart home application, which can be offered by care providers to at-risk people for increased indoor comfort and welfare.

Each service is broken down to three scenarios, corresponding to the early, medium and advanced stages of the demonstrator and evaluation process. The required functionalities for the early demonstrator version are provided in the table below.

ID Scenario Functionalities Demonstrator Version
1 (At-risk) Individuals data fetching, processing and classification


  • Registration of personal devices (for data collection and aggregation of activity and health data)
  • Registration of external data streams (events, weather, etc.)
  • Data processing
  • Creation of personas based on data classification
  • Definition of generic rules per persona
  • Definition of outlier detection algorithms
  • Generation of simple alerts to (at-risk) individuals.


Smart home data monitoring and processing
  • Registration of smart home data streams
  • Smart Home Data Monitoring
  • Pre-processing and normalization


To learn more about this demonstrator, visit its dedicated webpage 


Blog post authors: HYPERTECH & UBITECH & Suite5