The Internet of Things (IoT) is a paradigm where
physical objects, i.e., Things, embedded with sensors, connect and exchange data over the Internet. Recently, several IoT-based remote monitoring systems have been proposed for different applications, including monitoring the health of older adults. However, the integration of IoT-based systems can be complex, especially when several heterogeneous sensors are involved, with various communication protocols, programming languages, and
data formats contributing to interoperability and scalability issues. The Web of Things (WoT) architecture, proposed by the World Wide Web Consortium (W3C), offers a promising solution to address interoperability among diverse devices and platforms by using a machine-interpretable language to define devices and their interaction patterns. This paper introduces a WoT frame
work for remote health monitoring of older adults. Preliminary evaluations of the proposed WoT-based framework show that it is compatible with other WoT-compatible devices and it is able to detect physiological and environmental anomalies autonomously.
By combining the WoT framework, edge computing, and a low code platform, this framework presents a novel, interoperable, autonomous and user-centric system to remotely monitor older adults, offering future possibilities for more scalable and efficient telehealth systems.
