A Mechanism Used to Predict Diet Consumption and Stress Management in Humans Using IoMT

Abstract

Overeating and stress-eating are both widespread problems in today's culture. Many people in today's society consume more calories than they require, resulting in a variety of health issues such as heart disease, high cholesterol, obesity, stroke, hypertension, and other conditions. Overeating is a common way to cope with stress, boredom, anxiety, sadness, emotional traumas, and other factors. To avoid stress eating and other health concerns, attention to the quality and quantity of food we consume, as well as the length of our meals, the number of calories required for each body type, calorie expenditure, metabolism, and other factors is needed. As a result, our research focuses on users' calorie consumption and notifies them of how many calories they should consume and if they are stress-eating or eating normally. Because food intake is a major factor in a variety of health concerns, keeping a close eye on our eating habits is critical. To that end, we propose a method for an edge platform that detects, classifies, and notifies us about calories and whether we are doing normal eating or stress-eating because many health problems are largely influenced by food consumption.