ABSTRACT
In this paper, a hybrid intelligent structure called “Double Bounded Rough Neutrosophic Sets” is defined, which is a combination of Neutrosophic sets theory and Rough sets theory. Further, the Attribute based Double Bounded Rough Neutrosophic Sets was implemented using this hybrid intelligent structure for Facial Expression Detection on real time data. Facial expression detection is becoming increasingly important to understand one's emotion automatically and efficiently and is rich in applications. This paper implements some of these applications of facial expression such as: differentiating between Genuine and Fake smiles, prediction of Depression, determining the Degree of Closeness to a particular Attribute/Expression and detection of fake expression during an examination. With the onset of COVID - 19 pandemic, majority of people are choosing to wear masks. A suitable method to detect Facial Expression with and without mask is also implemented. Double Bounded Rough Neutrosophic Sets proposed in this paper is found to yield better results as compared to that of individual structures (Neutrosophic sets theory or Rough sets theory) © 2022. All Rights Reserved.
ABSTRACT
With the COVID-19 cases on the rise this project seems to effectively provide a cost effective and accurate solution for the diagnosis of the novel coronavirus among the mass public. This research paper presents the design and implementation of an IoT based project that is capable of recording the user’s vitals such as Heart rate, SpO2 and Temperature, all of which serve as important indicators of the novel coronavirus. Once recorded, the sensors then send the data over to the Arduino UNO microcontroller which in turn pushes it to private cloud server using a Wi-Fi module wherein the data can be used for various analysis and visualizations such as scatterplot, histograms and so on. A website then shows the entries made using the microcontroller along with the latest COVID-19 statistics and WHO guidelines that have been provided. The results at the prototype stage look really promising and provide a foundation for the project to be scaled upon on a larger scale since the project helps us to curb the virus by introducing viable monitoring methods which can serve as replacements to the traditional and more expensive alternatives.