Review-Based AI-Driven Posture Correction and Personalized Fitness Assistant Using Computer Vision and Augmented Reality

Syed Muhammad Hassan Zaidi, Rizwan Iqbal, Syeda Nazia Ashraf, Muhammad Bilal, Ayman Alharbi and Habib Hussain Zuberi
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Syed Muhammad Hassan Zaidi: Sindh Madressatual Islam University, Karachi, Pakistan
Rizwan Iqbal: Bahria University, Pakistan
Syeda Nazia Ashraf: Sindh Madressatual Islam University, Karachi, Pakistan
Muhammad Bilal: Harbin Engineering University, China
Ayman Alharbi: College of Computing, Umm Al-Qura University, Mecca, Saudi Arabia
Habib Hussain Zuberi: Bahria University, Karachi, Pakistan

International Journal of E-Health and Medical Communications (IJEHMC), 2025, vol. 16, issue 1, 1-25

Abstract: Currently, AI and AR are the most advanced technologies inspiring innovations in numerous areas. While AR provides novel, engaging user experiences, it also creates tedious and unstructured development issues like content production and marker detection. Recently, AI has been investigated to provide solutions to those AR limitations. The results from those studies inspired this work to present DeepReality, a Unity 3D plug-in that combines Deep Learning (DL) models with AR using Barracuda inference engine and AR Foundation. The ease with which DeepReality provides DL-AR integration allows developers to deploy DL-based iOS and Android mobile apps to extract visual elements and overlay AR content onto physical objects. DeepReality enhances feature-based environmental monitoring through incongruous items and semantic processing of objects. This study also presents a smart gym device that uses AI to adjust posture in real time to ensure optimal form during workouts like the chest press and to increase effectiveness. The system analyzes the violation of postures and gives audio feedback using speech recognition by recognizing the body key points through the Mediapipe framework. In addition, while creating custom training programs, diet recommendations, and motivational music playlists, user goals will be integrated into the design, meanwhile, 3D virtual trainers demonstrate exercises. This AI-powered concept merges augmented reality with real-time feedback to create long-term exercise habits and overall wellness. Evaluation of DeepReality's execution time and memory consumption prove it to be user-friendly and menial device compatible. Extensive metrics and analysis, operational validation, and modularity for DL integration are provided by this open-source toolkit available from the Unity asset store. By making the AI AR integration available for all applications on AR, developers can leverage the transformative power of AI to enhance their AR applications. Thereby, the future of AR-AI synergy is forged with DeepReality.

Date: 2025
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