| N. Kalofonos, C. Troussas, A. Krouska, Ph. Mylonas, C. Sgouropoulou |
| A Personalized Fitness Application for Injury Rehabilitation Using Artificial Neural Networks |
| 19th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2024), 21-22 November 2024, Athens, Greece |
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ABSTRACT
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| This paper presents a personalized fitness mobile application with the use of Artificial Intelligence (AI), namely Artificial Neural Networks (ANN), which contributes to injury rehabilitation. It automatically generates customized workout plans on a weekly basis, taking into consideration user-supplied data on issues such as injury type, fitness level, body mass index, and available equipment. The system continuously updates the workout plans with the help of feedback provided by the user to achieve the best recovery process. Built with React Native for the frontend and Django for the backend, this application guarantees access anytime, anywhere, with smooth data treatment. The paper further reflects on the general implications of using AI in e-fitness, stresses intuitive user interfaces, and furthers possibilities such technologies could undergo.
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| 21 November , 2024 |
| N. Kalofonos, C. Troussas, A. Krouska, Ph. Mylonas, C. Sgouropoulou, "A Personalized Fitness Application for Injury Rehabilitation Using Artificial Neural Networks", 19th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2024), 21-22 November 2024, Athens, Greece |
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