AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback

In today's fast-paced world filled with distractions such as work, family, education and other commitments, people often have little time and energy to maintain a healthy lifestyle. Traditional fitness approaches frequently fail to meet the dynamic needs and expectations of modern users, leading to dissatisfaction and disengagement. A main problem of traditional systems is the lack of personalization for diverse users, that also monitors and tracks the workout progression. This study introduces an innovative system that creates a personalized workout and diet plan which aims to engage and motivate the user experience by individual personalization. Through means such as real-time exercise tracking and feedback mechanisms, this mobile fitness application aims to address limitations of traditional fitness approaches, proving fitness experience for users to achieve their health and fitness goals in a convenient and sustainable manner

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icca62237.2024.10928121
Citations
3
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
2.37
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article

AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback

H. M. K.C. B Herath, Malithi Herath, Koliya Pulasinghe, Jenny Krishara et al.
3 citations
Educational Games and Gamification
2.37
article

AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback

H. M. K.C. B Herath, Malithi Herath, Koliya Pulasinghe, Jenny Krishara, I.M.D.J.R.B Ilukpitiya, R.H.M.S.A Rajakaruna
article en
3 citations

Abstract

In today's fast-paced world filled with distractions such as work, family, education and other commitments, people often have little time and energy to maintain a healthy lifestyle. Traditional fitness approaches frequently fail to meet the dynamic needs and expectations of modern users, leading to dissatisfaction and disengagement. A main problem of traditional systems is the lack of personalization for diverse users, that also monitors and tracks the workout progression. This study introduces an innovative system that creates a personalized workout and diet plan which aims to engage and motivate the user experience by individual personalization. Through means such as real-time exercise tracking and feedback mechanisms, this mobile fitness application aims to address limitations of traditional fitness approaches, proving fitness experience for users to achieve their health and fitness goals in a convenient and sustainable manner

Sri Lanka Institute of Information Technology (LK)
Zero hunger
Openalex Percentile: Top 10%
Educational Games and Gamification
2.37
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AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback — H. M. K.C. B Herath, Malithi Herath, et al. · (2024) | TGRS Research Map | TGRS