Open AccessMinimizing Respiratory Diseases using Warning from Hand-Touch-Over-Face Avoidance Based Algorithm on Deep Learning
Author(s) -
Jitesh Kumar Bhatia
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1131/1/012006
Subject(s) - computer science , face (sociological concept) , artificial intelligence , nose , facial recognition system , face masks , computer vision , biting , medicine , pattern recognition (psychology) , covid-19 , surgery , pathology , infectious disease (medical specialty) , biology , ecology , social science , disease , sociology
The most moved parts of a human body are hands. They may get contaminated by touching any surface we are working with. The contaminated hands can intentionally or unintentionally reach the part of our face while eating, sneezing, setting of hair, itching a scratch, biting the nails, soothing down when stressed, etc. The touch of hands in eyes, nose and mouth may result in unhygienic symptoms and may result in various respiratory diseases. We need to minimize our touch to the parts of our face. In the presented work, we propose a system that warns the user each time his/her hand reaches his/her face. We have used CNN to identify the class feature automatically rather than manually. Also, we have used RNN so that the proposed system learns recursively. The use of such system may minimize the subsequent touch on face and will lead to minimizing the respiratory diseases due to unhygienic touch conditions.