HPE 자세 분석, 자세 평가 동영상 분석,운동추천

Customized exercise recommendations based on precise analysis of posture, gait, and golf swing.

Human Position Evaluation (HPE) - AI-Based Posture Analysis/Posture Assessment and Exercise Guidance
1. Introduction: The Human Position Evaluation (HPE) app, a next-generation mobile biomechanical analysis platform, is an integrated posture analysis and exercise guidance solution that combines cutting-edge mobile technology and biomechanics theory. Developed based on Flutter, Google's high-performance cross-platform framework, it leverages Google ML Kit Pose Detection, an on-device machine learning technology, to provide expert-level, precise body analysis using only a smartphone camera, without the need for expensive equipment. Beyond simple posture checks, the app aims to identify body imbalances early based on quantitative data and improve users' physical function through personalized exercise recommendations.
2. System Architecture and Core Technologies: The HPE app adopts the MVVM architectural pattern to ensure stability. The data layer utilizes a SQLite-based local database to securely manage user information and records. The core engine, the image processing module, extracts 33 key body landmarks from real-time camera feeds every 0.1 seconds. A proprietary preprocessing algorithm minimizes lighting and background interference, and the extracted data precisely quantifies the alignment of the spine, pelvis, and lower extremities through a Euclidean geometry-based engine.
3. Static Posture Analysis: The app's foundational static analysis evaluates 12 major imbalance patterns in the body through frontal, lateral, and posterior images.
Neck: Measures the craniovertebral angle (CVA) formed by the tragus and the vertical line of the C7 cervical vertebra to analyze forward head posture (turtle neck pattern).
Thoracic and Lumbar Spine: Analyzes the thoracic kyphosis (TKA) and lumbar lordosis (LLA) to identify spinal curves such as hunched back and flat back.
Pelvis: Measures the inclination of the anterior superior iliac spine (ASIS) and posterior superior iliac spine (PSIS) to analyze pelvic tilt.
Legs & Feet: Analyzes leg alignment and ankle balance using Q-angle and KVA (Kinematic Velocimetry).
4. Dynamic Gait & Movement Analysis: The HPE app analyzes not only static posture but also the dynamic characteristics of the body in motion. It analyzes the user's gait cycle as a "heel strike → mid-stride → toe lift → swing" cycle, detecting gait asymmetry and pelvic rotation that may be difficult to detect with the naked eye. Furthermore, it assesses muscle balance in dynamic situations through functional movement tests, such as overhead squats, and provides joint trajectory visualizations.
5. Sports Science Specialization: Golf Swing Analysis: This golf swing analysis, which applies a sports medicine perspective, analyzes the swing motion into eight stages from address to finish. It measures spinal tilt, head position, and pelvic rotation at each stage to identify swing mechanisms that pose a risk of injury. It provides numerical feedback on phenomena such as reverse pivot and early extension to help improve performance and prevent injury.
6. Intelligent Exercise Recommendation and Reporting System: Analyzed data is translated into practical solutions. The app maintains a database of exercises optimized for each body type.
Automatic Matching Algorithm: If the analysis reveals a straight neck pattern, it automatically **suggests** a customized exercise program consisting of chin-ups, stretches, and more.
Real-Time Guidance: Timers, countdowns, and animated guides help users follow the correct movements.
PDF Report Generation: All analysis results and recommended exercise lists are generated as a detailed report (PDF). Skeleton images and angle charts are included, making it ideal for expert consultations.
7. User Experience (UX): The intuitive 6-grid layout and AR-style shooting guidelines allow anyone to easily perform accurate analysis. The results screen uses intuitive graphics and color codes (normal: green, caution: yellow, danger: red) instead of complex terminology, making it easy for users to understand their condition.
8. Conclusion: The HPE app is a tool for data-driven health management. Through precise ML algorithms, users can manage their musculoskeletal health, contributing to maintaining proper posture and improving quality of life.
[Disclaimer] This service is not a professional medical device and is not intended for the diagnosis, treatment, or prescription of any disease. The analysis results and exercise recommendations provided are supplementary information for health management and are not a substitute for medical advice. If you experience pain or require an accurate diagnosis, always consult a physician or other qualified healthcare professional.