Research On The System Design And Realization Methods For Cloud-End Fusion Based Health Internet Of Things

Internet of Things (IoT) has shown the great power of technology innovation in various aspects, such as the development social economic, "one belt, one road" initiative, and the improvement of people's life quality. The importance of health status for a better life quality makes health Internet of Things (Health-IoT) critical branch of IoT technologies. The healthcare services with IoT and cloud support not only bring benefits for users (especially athletes, patients, and empty nesters, etc.) but also improve the development of the healthcare industry. The thesis proposes the Health-IoT system architecture and relevant key technologies in terms of theory and practical deployment. The research contents mainly include four parts:1) multi-level service quality guarantee of Health-IoT based on body area network (BAN),2) multi-modal health monitor on the cloud integration,3) Health-IoT's perception of emotions and interaction with emotions,4) the design and realization of demonstration system prototype of Health-IoT.With the rise of the robot and cloud computing technology, human-centric healthcare service attracts widely attention in order to meet the great challenges of traditional healthcare, especially the limited medical resources. This thesis presents a healthcare system based on cloud computing and robotics, which consists of BAN, robot, software system and cloud platform. This system is expected to accurately measure user's physiological information for analysis and feedback, which is assisted by the robot integrated with various sensors. The proposed approach is evaluated with experimental study based on a real testbed.In terms of service quality guarantee (QoS) of Health-IoT, multi-level mac-layer quality of service (MM-QoS) framework is presented on the basis of analyzing QoS needs of Health-IoT, which is a multiple level-based QoS design at MAC layer for a tree topology structured BAN. The QoS provisioning is divided into three levels of priorities, i.e., priority of user (PoU), priority of data (PoD) and priority over time (PoT). The time slot-based CSMA/CA mechanism in the beacon enabled mode of IEEE 802.15.4 is utilized for the implementation of the QoS framework. The simulation results verify the effectiveness of the multi-level QoS provisioning in BAN.With the development of the technology such as the IoT,5G and the cloud computing, people pay more attention to their spiritual life, especially emotion sensing and interaction; however, it is still a great challenge to realize the far-end awareness and interaction between people, for the existing far-end interactive system mainly focuses on the voice and video communication, which can hardly meet people's emotional needs. In this thesis, the cloud-assisted pillow robot (CP-Robot) for emotion sensing and interaction has been designed. First, we use the signals collected from the smart clothing, CP-Robot and smart phones to judge the users'moods; then we realize the emotional interaction and comfort between users through the CP-Robot; and finally, we give a specific example about a mother who is on a business trip comforting her son at home through the CP-Robot to prove the feasibility and effectiveness of the system.For the respect of design and realization of the exemplifying prototype system for the Health-IoT, the system framework of demonstration and application is suggested. Furthermore, to enhance the capability of data transmissions and intelligence for providing higher quality and more friendly services, a LTE-based robotics system integrated with cloud computing is built. Smart clothing (the collection apparatus of human physical signal) based on textile dry electrodes and flexible conductive fiber is designed and made. Finally, design a testbed for verifying system's feasibility and performance of emotional recognition and feedback application based on the humanoid robot.