ABSTRACT
This research proposes a smart entrance system to cope with the COVID-19 pandemic in public places. The system can help automate standard operating procedures (SOPs) for checking. The paper focuses on exploring the problem context related to the COVID-19 SOPs for public places. The research on technologies involves using thermal cameras, fingerprint recognition, face recognition, iris recognition, object detection and cloud computing. These technologies can be integrated to provide a more versatile and effective solution. The technological solutions proposed by contemporary researchers are also critically analysed by investigating their advantages and disadvantages. © 2023 IEEE.
ABSTRACT
Surveillance camera has become an essential, ubiquitous technology in people's daily lives, whether applicable for home surveillance or extended to public workplace detection. The importance of the camera is irreplaceable in terms of the agent for an enclosed system to function correctly. The goal of ubiquitous computing is to keep different devices or technology communicating seamlessly, allowing them to expand to other areas instead of limiting it to one device. However, many research papers have been released on how the camera can aid in the current situation where COVID-19 is still raging worldwide, especially in crowded places. This paper aims to suggest a method by which surveillance cameras on the university campus can automatically detect student face mask status and notify them. Alongside that, this concept of applying a video management system within the university campus will assist in the automation of invigilating the student's daily mask status from the number of embedded surveillance cameras around the campus. © 2023 IEEE.
ABSTRACT
The deadly virus COVID-19 has heavily impacted all countries and brought a dramatic loss of human life. It is an unprecedented scenario and poses an extreme challenge to the healthcare sector. The disruption to society and the economy is devastating, causing millions of people to live in poverty. Most citizens live in exceptional hardship and are exposed to the contagious virus while being vulnerable due to the inaccessibility of quality healthcare services. This study introduces ubiquitous computing as a state-of-The-Art method to mitigate the spread of COVID-19 and spare more ICU beds for those truly needed. Ubiquitous computing offers a great solution with the concept of being accessible anywhere and anytime. As COVID-19 is highly complicated and unpredictable, people infected with COVID-19 may be unaware and still live on with their life. This resulted in the spread of COVID-19 being uncontrollable. Therefore, it is essential to identify the COVID-19 infection early, not only because of the mitigation of spread but also for optimal treatment. This way, the concept of wearable sensors to collect health information and use it as an input to feed into machine learning to determine COVID-19 infection or COVID-19 status monitoring is introduced in this study. © 2023 IEEE.
ABSTRACT
Everyone understands the necessity of health management, especially in light of the COVID-19 viral infection. How to care for and manage health has emerged as the main topic of conversation, whether it concerns the elderly, adults, patients, or children. There are numerous ways to maintain one's health, and smartwatches are good at doing this because their owners can monitor their health constantly. The idea behind a smartwatch is to utilise its green light to measure the wearer's blood pressure before gathering information about their health. Because smartwatches can constantly detect and analyse users' daily health information. Users or guardians can use this information to take care of their bodies;therefore, they are an excellent choice for many people with dementia, depression, high-stress conditions, and athletes who need to monitor their physical fitness. This article analyses in depth the value of smartwatches, their applications for managing people's health, and their benefits and drawbacks. © 2023 IEEE.
ABSTRACT
Background: The use of complementary and alternative medicine (CAM) therapies has surged since the spread of COVID-19 pandemic. However, the efficacy and safety of these CAM therapies remains majorly unexplored. Objective: To understand the efficacy and safety of Nochi Kudineer Chooranam (5 gm), Mahasudarsan Chooranam (3 gm) , Adathodai Manapagu (10 ml), Omatheeneer (10 ml), Maldevi chenduram (100 mg) with honey in management of COVID 19 patients. Methods: We conducted a randomised, controlled, open label trial in patients hospitalized with SARS-CoV-2 infection who had an oxygen saturation of 90% or more while breathing ambient air. Patients were randomized into two groups in a 1:1 ratio to either intervention group, receiving seven days of siddha medicine (Intervention group; n = 50) or standard care (control group; n = 50). The primary end point was clinical markers and patient recovery status on day 8. Results: A total of 100 patients with confirmed COVID-19 with average age of 37 yrs (interquartile range, 28-49) participated in the study. There was no statistically difference between groups at baseline (P > 0.05). After intervention, patients in the intervention group had statistically (P < 0.05) significant reduction in the symptoms when compared to standard care. By end of the intervention period, 6 patients (12%) were hospitalized in the control group and none of them were reported for intervention group. Conclusion: Among patients with mild to moderate COVID-19, 7 days of siddha medicine showed a significant reduction in the clinical symptoms and requirement of hospitalisation, with no adverse events. Therefore, the particular siddha medicine preparation could be used safely and effectively for the management of COVID-19 patients.
ABSTRACT
Background The use of complementary and alternative medicine (CAM) therapies has surged since the spread of COVID-19 pandemic. However, the efficacy and safety of these CAM therapies remains majorly unexplored. Objective of the current study is to understand the efficacy and safety of one such traditional CAM therapy of South India, known as ‘Siddha’ system of medicine, in the management for the COVID-19 patients. Methods We conducted a randomised, controlled, open label trial in patients hospitalized with SARS-CoV-2 infection who had an oxygen saturation of 90% or more while breathing ambient air. Patients were randomized into two groups in a 1:1 ratio to either intervention group, receiving seven days of siddha medicine (Intervention group;n=50) or standard care (control group;n=50). The primary end point was clinical markers and patient recovery status on day 8. Results A total of 100 patients with confirmed COVID-19 with average age of 37 yrs (interquartile range, 28-49) participated in the study. There was no statsistically difference between groups at baseline (P>0.05). After intervention, patients in the intervention group had statistically (P<0.05) significant reduction in the symptoms when compared to standard care. By end of the intervention period, 6 patients (12%) were hospitalized in the control group and none of them were reported for intervention group. Conclusion Among patients with mild to moderate COVID-19, 7 days of siddha medicine showed a significant reduction in the clinical sysmptoms and requirement of hospitalisation, with no adverse events. Therefore, the particular siddha medicine preparation could be used safely and effectively for the management of COVID-19 patients. Clinical Trial Registration CTRI/2020/08/026999.
ABSTRACT
Shopping is considered as an essential activity for many households and is negatively impacted ever since the COVID-19 pandemic had begun. People are panic buying and crowding without social distancing and practice hygiene after exchanging physical touch with objects or cashiers at retail stores. A Smart Shopping System that utilizes RFID and integrated with mobile website technology can improve efficiency and effectiveness for customers to shop even during a pandemic in a more controlled manner. It can be achieved by integrating closely both hardware and software over an active internet connection to send and receive data for real-time updates for each respective customer. The research aims to facilitate users for an improved shopping experience that highlights the accessibility of easy, contactless purchasing, engaging marketing and simultaneously reduces direct contact with public possessions during the coronavirus (COVID-19) pandemic. An extensive discussion of the existing similar systems reviews, literature review and the current developments are performed in depth. The research gathered public insights through a quantitative research approach and applied the gather data for meaningful information in order to recommend an efficient solution. With the creation and visualization of a prototyping model, the researcher demonstrated how a Smart Shopping System could achieve efficiency and effectiveness in a retail store on a small scale. © 2022 IEEE.