: In this paper, we describe the application of the technologies of the Internet-of-Things (IoT) to the management of wheelchairs and medical chairs such as geriatric (Geri) chairs or treatment chairs. Specifically, it seeks to monitor the status of high-risk or physically-weakened patients in hospitals or care facilities as they rest on wheelchairs or await treatment on medical chairs with sensor data collected by embedded pressure and motion sensors, and provide real-time alerts to the medical staff. The potential for injuries from high-risk individuals attempting to stand and falling is very serious. The injuries often result in additional complications to the underlying health condition requiring the use of the wheelchair or treatment. The proposed IoT wheelchair and medical chair management system will alert the staff immediately when a susceptible individual stands or attempt to stand, and allow them to take immediate remedial action. The motion data from the network of sensors is further processed by machine learning models which predict occupant intent regarding sit-to-stand transition, providing preventive alerts to the staff. The research consists of two parts. The first part created IoT-connected sensors and devices used to capture the occupant’s motion on the chair and send the data to a central server. The second part developed the staff alert application that runs on mobile phones and consoles located in the nurses' stations, that receive the information from the server.

Internet-of-Things Management of Medical Chairs and Wheelchairs

Within the scope of this study, it is aimed to determine the usability of the Internet of Things Technology in open and distance learning environments. In this context, the phenomenology method was used in order to get the opinions of field experts. The criterion sampling method, which is one of the purposeful sampling methods, was used in determining the participants. As a criterion, it is taken into account that the participants are experts in the field of open and distance learning. In this context, 8 field experts contributed to the study. The findings obtained at the end of the study, internet of things technology; It clarifies how it can be used in traditional face-to-face learning environments and open and distance learning environments, what benefits it can provide, what are its limitations, its future usage trends, and how it can be used outside of learning environments.

https://www.igi-global.com/ViewTitle.aspx?TitleId=294582&isxn=9781799893561

The Opinions of Field Experts on the Usability of Internet-of-Things Technology in Open and Distance Learning Environments

In this paper, we describe the application of the technologies of the Internet of Things (IoT) to secondary and higher education. Specifically, it seeks to monitor the status of the students and estimate student attention and engagement based on data collected by environmentally embedded IoT sensors, and provide real-time feedback to the instructor. The research was divided into three parts. The first part researched the IoT sensors and devices used to capture student physiological data. The second part developed the instructor feedback devices, which included tablet and smartwatch applications. The third part is the creation of the machine learning model that performed the estimation of student attention from the data.

Environmentally Embedded Internet-of-Things for Secondary and Higher Education

In this chapter, we describe the application of the technologies of the Internet of things (IoT) to the management of hospital beds. Specifically, it seeks to monitor the status of hospital patients assigned by their doctors to bed rest based on their medical conditions on sensor data collected by embedded pressure sensors and provide real-time alerts to the medical staff. The potential for injuries from prescribed bed-rest patients vacating the hospital bed and falling is very serious. The injuries often result in additional complications to the underlying health condition requiring the prescribed bed rest. The proposed IoT bed-rest management system will alert the medical staff immediately when a bed-rest patient vacates the bed and allow them to take immediate remedial action. The research consists of two parts. The first part created IoT-connected pressure sensors and devices used to capture the patients’ presence or absence on the bed and send the data to a central server. The second part developed the medical staff alert application that runs on mobile phones and consoles located in the nurses’ stations, that receive the information from the server. This system can also monitor the movement of comatose patients, who need to be moved frequently by the medical staff to avoid pressure ulcers. The server can automatically inform the medical staff when a patient is scheduled to be moved and alert the staff when a scheduled movement is overdue for a set time.

Kyle Yeh

Papers

Environmentally Embedded Internet-of-Things for Secondary and Higher Education

Internet-of-Things Management of Hospital Beds for Bed-Rest Patients