Food Recognition and Health Monitoring System for Recommending Daily Calorie Intake

Growing concern of human life is about their health and fitness. People are generally inattentive about the contents present in the food item they are consuming. Also today's sedentary lifestyle is giving rise to increased obesity in some people and also weakness and malnutrition in some others. This paper presents a study of various food recognition and health monitoring systems. The structures based on wearable gadgets and android implementation are considered along with the structures based on augmented reality. The structures are arranged on the basis of algorithmic details used for various steps in the activity of food identification and also for estimating the calorie count. Performance and the execution rate of these systems are compared along with their dominance factors and pitfalls and depending on which, a system is proposed for food recognition and monitoring health by recommending the daily nutrition and calorie intake.