VIRTUAL FITNESS TRAINING SUPPORTER SYSTEM: A Literature Survey

Abstract

People today frequently look for ways to keep track of and improve their health, and they are quite conscious of their fitness levels. Through the internet, people may now obtain anything and anything thanks to the remarkable advancement of technology. People therefore tend to choose the simplest and most economical means of achieving fitness. However, this convenient alternative forces people to exercise improperly, according to their body types. Technological improvements and the rising popularity of remote fitness have made it possible to create virtual fitness assistance systems. With the help of these systems, people may achieve their fitness objectives with personalised assistance, encouragement, and coaching in the comfort of their own homes. This study focuses on the creation of an application to track and determine the health and fitness of the individual. Simple and accurate, the app does not force any programs and leaves you all freedom to build your own workout schedule. A wide range of technologies are required to construct this kind of app. Pose estimation and analysis, being an inevitable module, has made a significant contribution to the growth of the suggested work. Therefore, it is crucial to do an in-depth study of this particular domain. Additionally, there is a large selection of fitness apps with a variety of capabilities already available globally. These apps might use various approaches, and their architectures might be highly varied. It is crucial to investigate these apps and their variable design before creating a fitness assistant in order to assess their techniques and analyse the effectiveness of the utilised algorithms. This paper is a survey of different technologies which helps in maintaining fitness and an evaluation of the accuracy of these technologies.