Writings Inn

 Automatic Micro Expression Recognition and Analysis Introduction: With the advancement in technology and the machine learning methods various automatic processes are possible to predict human behavior and his emotions. Micro Expression Recognition as addressed in this research is also a machine dependent process which can reveal the hidden information and the intentions behind a micro-expression. These micro expressions of human beings which are otherwise very deceitful and hard to predict can be automatically monitored and the meaning behind them can be predicted with machine learning techniques. This technological advancement allows to uncover various hidden intentions and the affiliated emotions with micro expressions as to predict better about human beings. The research will focus on the machine learning methods and use of Spontaneous Micro Expression Database (SMIC) for the prediction of hidden emotions and revealing the truth behind the micro expressions. Problem Statement: ...

Fitbit Wearable Devices and CGM Integration into Diabetes Using Multi Criteria Optimization Approach for Decision Support System Based on IoMT Clinical Data Introduction The standard practice of CGM (Continuous Glucose Monitoring) is now beneficial for the diabetic patients. The CGM allows intensive control over the blood glucose level and the data is collected as well as monitored with the help of CGM. It allows recurrent accessibility to the daily glucose patterns and improving the control over the glucose levels of the body. Asymptomatic hypoglycemia is also detected with the help of CGM. The improved self-management of the patient’s health is made possible with the help real-time advancements in existing CGM technology. The betterments in the system such as glucose threshold pumps for the prevention of hypoglycemia and auto responding insulin pump that acts as artificial pancreas (AP) allow maintaining the glucose level of the body in diabetic patients. The term artificial pancreas...