A. Static Analysis
Postural assessment is conducted using an RGB-D camera, capturing front, side, back, and Adam's Test images.
Deep learning algorithms detect skeletal asymmetry and evaluate 11 key postural indicators, including:
- Forward Head Posture
- Asymmetrical Shoulder Height
- C7-CSL x-axis distance
- Pelvic Axial Rotation
Muscle analysis identifies relative tension and weakness in 87 muscles based on physiotherapy methodologies such as the Janda Approach and Anatomy Trains.
A 3D digital twin is generated to reconstruct the user's skeletal and muscular structure.
B. Dynamic Analysis
Functional movement assessments, including the Overhead Squat and Single-Leg Stand, are performed.
Deep learning technology analyzes movement patterns of each joint to generate results.
C. Ongoing Updates
Additional features and improvements will continue to be integrated in future updates.
A. Static Analysis
Postural assessment is conducted using an RGB-D camera, capturing front, side, back, and Adam's Test images.
Deep learning algorithms detect skeletal asymmetry and evaluate 11 key postural indicators, including:
Muscle analysis identifies relative tension and weakness in 87 muscles based on physiotherapy methodologies such as the Janda Approach and Anatomy Trains.
A 3D digital twin is generated to reconstruct the user's skeletal and muscular structure.
B. Dynamic Analysis
Functional movement assessments, including the Overhead Squat and Single-Leg Stand, are performed.
Deep learning technology analyzes movement patterns of each joint to generate results.
C. Ongoing Updates
Additional features and improvements will continue to be integrated in future updates.