The effect of personalized exercises with artificial intelligence on the muscle strength of students
Poster Presentation
Paper ID : 2195-SSRC
Authors
استادیار فیزیولوژی ورزشی ،گروه علوم ورزش،دانشگاه شهرکرد،شهرکرد، ایران
Abstract
Abstract
Considering the prevalence of inactivity and muscle weakness among students, improving their muscle strength is of great importance. Inactivity and muscle weakness can lead to numerous health problems such as musculoskeletal pain, osteoporosis and obesity.
Regular exercise plays a key role in improving muscle strength and preventing various diseases. Muscle strength means the ability of muscles to produce the necessary force to perform various activities.
However, many students face challenges in improving their muscle strength levels due to lack of time, motivation, or knowledge. Personalized training with artificial intelligence (AI) can be a solution to this problem.
However, designing suitable exercise programs for each person according to their needs and abilities can be challenging. Artificial intelligence (AI) can be a useful tool for personalizing exercise programs and improving muscle strength in students. This study was to investigate the effect of personalized exercises with artificial intelligence on the muscle strength of students.
Methodology
This study is a double-blind randomized clinical trial conducted on 60 students (30 men and 30 women) with an average age of 21 years. Participants are randomly divided into two groups:
The first group: receive personalized training programs with artificial intelligence.Second group: receive standard training programs.
Personalized training programs with artificial intelligence: Designed by an AI algorithm that takes into account data related to each person's health, fitness and goals. These data include age, gender, height, weight, medical history, fitness level and sports goals of each person.
Standard Training Programs Includes strength training designed for students.
Results
After 12 weeks, compared to the control group, the intervention group showed a significant improvement in muscle strength indicators such as maximum muscle power, muscle endurance and body mass index (BMI) (p<05).
Conclusion:
These findings suggest that personalized exercise programs with AI can be an effective intervention for improving muscle strength in students. Further research is needed to investigate the long-term effects of this intervention and to explore its potential benefits for other health outcomes.
Considering the prevalence of inactivity and muscle weakness among students, improving their muscle strength is of great importance. Inactivity and muscle weakness can lead to numerous health problems such as musculoskeletal pain, osteoporosis and obesity.
Regular exercise plays a key role in improving muscle strength and preventing various diseases. Muscle strength means the ability of muscles to produce the necessary force to perform various activities.
However, many students face challenges in improving their muscle strength levels due to lack of time, motivation, or knowledge. Personalized training with artificial intelligence (AI) can be a solution to this problem.
However, designing suitable exercise programs for each person according to their needs and abilities can be challenging. Artificial intelligence (AI) can be a useful tool for personalizing exercise programs and improving muscle strength in students. This study was to investigate the effect of personalized exercises with artificial intelligence on the muscle strength of students.
Methodology
This study is a double-blind randomized clinical trial conducted on 60 students (30 men and 30 women) with an average age of 21 years. Participants are randomly divided into two groups:
The first group: receive personalized training programs with artificial intelligence.Second group: receive standard training programs.
Personalized training programs with artificial intelligence: Designed by an AI algorithm that takes into account data related to each person's health, fitness and goals. These data include age, gender, height, weight, medical history, fitness level and sports goals of each person.
Standard Training Programs Includes strength training designed for students.
Results
After 12 weeks, compared to the control group, the intervention group showed a significant improvement in muscle strength indicators such as maximum muscle power, muscle endurance and body mass index (BMI) (p<05).
Conclusion:
These findings suggest that personalized exercise programs with AI can be an effective intervention for improving muscle strength in students. Further research is needed to investigate the long-term effects of this intervention and to explore its potential benefits for other health outcomes.
Keywords