IoT4Care Group: Paper accepted at Springer Nature Computer Science Journal

Our newest work, a collaboration between the University of Verona, Italy, and the University of Stavanger, Norway, "SHPIA 2.0: An easily scalable, low-cost, multi-purpose Smart Home Platform for Intelligent Applications," has been accepted to Springer Nature Computer Science! 🎉

More information below 🧵
Sensors, electronic devices, and smart systems have invaded the market and our daily lives. As a result, their utility in smart home contexts to improve the quality of life, especially for the elderly and people with special needs, is getting stronger and stronger. Therefore, many systems based on smart applications and intelligent devices have been developed, for example, to monitor people's environmental contexts, help in daily life activities, and analyze their health status. However, most existing solutions have drawbacks related to accessibility and usability. They tend to be expensive and lack generality and interoperability. These solutions are not easily scalable and are typically designed for specific constrained scenarios. 
This paper tackles such drawbacks by presenting SHPIA 2.0, an easily scalable, low-cost, multipurpose smart home platform for intelligent applications. It leverages low-cost Bluetooth Low Energy (BLE) devices featuring both BLE-connected and BLE broadcast modes, to transform common objects of daily life into smart objects. 
Moreover, SHPIA 2.0 allows the collection and automatic labeling of different data types to provide indoor monitoring and assistance.
Specifically, SHPIA 2.0 is designed to be adaptable to different home-based application scenarios, including human activity recognition, coaching systems, and occupancy detection and counting. The SHPIA platform is open source and freely available to the scientific community, fostering collaboration and innovation.