Furthermore, physical activity is crucial for staying and managing weight. Apart from the benefits, engaging in exercise has a profound impact on mental well, enhancing overall quality of life by reducing stress levels and improving mood. By incorporating exercise into our routines, we can proactively safeguard our health.
However, according to a report by the World Health Organization, one in four adults and 81% of teenagers do not do enough physical activity. The main reason for people’s inactivity can be the economic development of countries and the level of immobility increases, and due to the change in transportation patterns, the increase in the use of technology for work and recreation, cultural values and the increase in sedentary behaviors can reach 70%.
However, different technologies have tried to solve this problem. For example, in one of the recent studies published in Computers in Biology and Medicine, the focus was on developing an application based on deep learning that supports and motivates patients during Home sessions.
This paper can be accessed through this link: “Computers in Biology and Medicine – A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions,” introduced a deep learning-based application designed to evaluate rehabilitation exercises. As the future unfolds, we can expect ubiquitous systems to provide remote assistance in rehabilitation procedures to significantly complement traditional approaches to evaluating home rehabilitation programs.