Research Article
An IoT-Based Healthcare Ecosystem for Home Intelligent Assistant Services in Smart Homes
@INPROCEEDINGS{10.1007/978-3-030-42029-1_10, author={Miguel Mendon\`{e}a and Tom\^{a}s Jer\^{o}nimo and Mauro Juli\"{a}o and Jo\"{a}o Santos and Nuno Pombo and Bruno Silva}, title={An IoT-Based Healthcare Ecosystem for Home Intelligent Assistant Services in Smart Homes}, proceedings={IoT Technologies for HealthCare. 6th EAI International Conference, HealthyIoT 2019, Braga, Portugal, December 4--6, 2019, Proceedings}, proceedings_a={HEALTHYIOT}, year={2020}, month={6}, keywords={Health Mobile health IoT Health IoT Smart home}, doi={10.1007/978-3-030-42029-1_10} }- Miguel Mendonça
Tomás Jerónimo
Mauro Julião
João Santos
Nuno Pombo
Bruno Silva
Year: 2020
An IoT-Based Healthcare Ecosystem for Home Intelligent Assistant Services in Smart Homes
HEALTHYIOT
Springer
DOI: 10.1007/978-3-030-42029-1_10
Abstract
Home Intelligent Assistants (HIAs) typically integrate several types of healthcare and well-being solutions that include mobile applications, sensors or wearables. These solutions are usually connected to the HIA through the Internet designing an Internet of Things (IoT) ecosystem. This paper presents an IoT healthcare ecosystem for smart home environments that considers both indoor and outdoor scenarios. The main goal is to monitor in a pervasive way habitant vital signs, such as heart rate, temperature, and respiration, while sleeping or any other indoor and outdoor activity. A breast sensor band and smartwatch were used as wearable sensors of the ecosystem. Furthermore, smartphones and tablets were used has interfaces of the HIA. The service-oriented architecture that integrates all the IoT solutions was constructed and a secure authentication model was implemented to maintain health data privacy. This framework’s main goal is to allow the integration of other IoT-based solutions regardless of its hardware or software. The proposed ecosystem and integrated solutions were validated both in terms of features and communication through a series of experiments on real devices through a Wi-Fi network.
