Abstract: The COVID-19 pandemic has brought to light the necessity for quick and precise techniques of viral detection to stop the virus's spread. A possible platform for continuous monitoring of people for COVID-19 symptoms is provided by wearable technology, such as smartwatches and fitness trackers. Using sensors on the wearable gadget, this system would monitor vital signals including heart rate, temperature, and oxygen levels, which can be symptoms of COVID-19 infection. Additionally, the gadget might have sensors that look for viral particles or antibodies in bodily fluids like blood, sweat, or tears. Machine learning techniques might be used to analyze the data gathered by these sensors and find patterns that point to the presence of COVID-19. To enable early intervention and treatment, the device may also be set up to notify the user and medical professionals if there are any indications of infection. Additionally, this technology could be combined with contact tracing apps to track the spread of the virus more precisely. Before this technology can be extensively used, several issues must be resolved, including the accuracy and dependability of the sensors, privacy issues, and governmental permissions. Overall, the creation of wearable technology for COVID-19 detection has the potential to completely alter how we track and manage the spread of infectious illnesses.

PDF | DOI: 10.17148/IJARCCE.2023.12532

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