Calorie burnt prediction by machine learning algorithm” aim to predict the number of calories
burnt by an individual during physical activity using machine learning techniques. We …

Obesity is a chronic disease correlated with numerous risk factors that not only negatively
affect all body functions but also increase the chances of developing chronic diseases and …

This research addresses the accuracy issues in IoT-based human activity recognition (HAR)
applications, essential for health monitoring, elderly care, gait analysis, security, and …

All people expect to live a healthy life. But today about eighty million people a year suffer
from non-communicable diseases. Among non-communicable diseases, heart disease and …

In this growing technological era, People are less aware of their health and mental stability.
Due to lack of time, they intake more junk food than healthy options, which leads to an …

Accurate prediction of calories burned during physical activities is crucial for various
applications in health monitoring, fitness tracking, and personalized nutrition. Traditional …

In the realm of endurance sports, athletes often grapple with the challenge of balancing
caloric intake to avoid the dreaded energy depletion phenomenon known as “bonking.” This …

INTRODUCTION: In today's health-conscious world, accurate calorie monitoring during
exercise is crucial for achieving fitness goals and maintaining a healthy lifestyle. However …

This paper focuses on the prediction of calories burned during exercise using machine
learning techniques. Due to a growing number of obesity and overweight people, a healthy …

In recent times, the rise in demand for IoT-based Human Activity Recognition (HAR)
applications across diverse sectors such as health monitoring, elderly care, gait analysis …