Abstract
This paper presents an in-depth study and exploration of the health IoT architecture and related implementation technologies from both theoretical and practical aspects, with important theoretical significance and practical application value. The research includes cloud fusion health IoT architecture, multimodal information acquisition in health IoT perception layer, multi-level service quality assurance of health IoT based on human LAN, and emotional perception and emotional interaction in health IoT. In terms of health IoT architecture, the cloud convergence health IoT architecture is proposed to deeply integrate the health cloud platform and perception layer by integrating multiple communication technologies to optimize the user experience and make health IoT applications more closely connected with people. This paper describes the basic concepts and main components of multimodal sensing information collection, the design and implementation of a health monitoring cloud robotics platform, robotics-based multimodal data sensing and aggregation, and high comfort sustainable physiological signal collection based on smart clothes. The feasibility and performance of the QoS framework proposed in this paper are verified by computer simulations. In this paper, migration learning is used to implement emotion data labeling, continuous conditional random fields to identify emotions based on data collected from smartphones and smart clothes, respectively, and finally decision layer fusion for emotion classification prediction.
Highlights
After the rapid development and evolution of Internet of Things (IoT) technology in the last decade, it has gradually transitioned from the early theoretical research and the exploration stage to the practical deployment and application stage, which have produced many representative IoT applications in some application fields [1]
In the "people-oriented" health IoT concept, more attention will be paid to the quality of service (QoS) and the quality of experience (QoE) and other important evaluation indicators of the IoT, how to apply some of the latest technology, and How to apply some of the latest technologies and research results to health IoT and improve the service level has become an urgent technical challenge [3,4]
Telehealth monitoring service integrates health care resources to extend the coverage of health care institutions, which can essentially be understood as a telemedicine health digital system for communities, families, and convalescent and rehabilitation institutions, and the service targets cover almost all people [5]
Summary
After the rapid development and evolution of IoT technology in the last decade, it has gradually transitioned from the early theoretical research and the exploration stage to the practical deployment and application stage, which have produced many representative IoT applications in some application fields [1]. The home-based remote health monitoring application integrates physiological signal sensors, wireless communication technology, and cloud computing, overturning the traditional health monitoring model and becoming an important branch of health IoT development [14]. The architecture of a home-based health monitoring system, on the other hand, is relatively simple and usually requires only the purchase of a dedicated health-aware device to use [20] These devices are usually connected to smartphones using Bluetooth, transferring the detected physiological data to the cell phone, and viewing the test results and saving historical data in real-time through a special health application installed on the cell phone, and some device manufacturers provide value-added services such as uploading data to cloud servers, querying historical data, and personalized health guidance [21]. To verify the feasibility of the proposed framework and evaluate the performance metrics of the framework, a custom simulation model is developed based on a network simulation platform, and the experimental results show that the proposed framework can meet the requirements of the health IoT in terms of diversity and performance of QoS assurance
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