ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Human-Media Interaction
Volume 7 - 2025 | doi: 10.3389/fcomp.2025.1526484
This article is part of the Research TopicIntelligent and Emerging Assistive TechnologyView all articles
Intellectual Rooms based on AmI and IoT technologies
Provisionally accepted
- 1St. Petersburg Institute for Informatics and Automation (RAS), Saint Petersburg, Russia
- 2Department of Computer Science and Artificial Intelligence, ETS of Computer and Telecommunications Engineering, University of Granada, Granada, Spain
- 3VIT University, Vellore, India
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
This article presents a method for building a hospital room with extended intelligent features based on ambient intelligence (AmI) and Internet of Things (IoT) technologies. We begin by reviewing existing vision-based healthcare systems and identifying important and useful functions.We then present a method for building an Intellectual Room that enhances the intelligence of existing hospital rooms through machine learning. A key feature of the proposed Intellectual Rooms is a complex model incorporating medical domain knowledge of patients' abnormal actions and machine learning knowledge for image processing. To evaluate this method, we utilized simulated test data, generated to represent patient scenarios and abnormal actions. This simulation and its parameters are described in detail within the paper. The system processes patient images along with data from life support devices and rehabilitation treatment. Data is gathered using various devices, including public cameras, smartphones, and medical sensors, to ensure cost-effectiveness. Machine learning is applied on devices, in fog, or in the cloud, depending on technical constraints. The system's non-intrusive nature and intelligence make it suitable for both hospital and home patient care.
Keywords: Intellectual Room, Ambient Intelligence, Internet of Things, Image Recognition, machine learning and health-care system. Frontiers
Received: 11 Nov 2024; Accepted: 26 May 2025.
Copyright: © 2025 Tuan Anh, Zhukova, Subbotin and Delhibabu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Radhakrishnan Delhibabu, VIT University, Vellore, India
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.