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Novel Multi-View RGB Sensor for Continuous Motion Analysis in Kinetic Chain Exercises: A Pilot Study for Simultaneous
Junghoon Ahn1, Hongtaek Choi1, Heehwa Lee2
1Department of Health Science, Graduate School, Korea University, Seoul 02841, Republic of Korea.
Sensors (Basel, Switzerland)
|December 23, 2023
Summary
A new multi-view RGB sensor system shows high reliability for measuring joint angles during exercises. This technology offers a convenient and accurate solution for evaluating musculoskeletal disorders and improving movement analysis.
Area of Science:
- Biomechanics
- Motion Analysis
- Sports Science
Background:
- Increasing musculoskeletal disorders necessitate advanced measurement tools.
- Current equipment faces challenges in convenience, cost, and data processing.
- Need for precise evaluation of posture, joint range, and movement patterns.
Purpose of the Study:
- To compare the validity and reliability of a new multi-view RGB sensor (4DEYE®) against an infrared marker system (VICON®).
- To assess the accuracy of joint angle measurements using the 4DEYE® system.
- To evaluate the system's performance in both open and closed kinetic chain exercises.
Main Methods:
- Comparative analysis of 4DEYE® (RGB sensor) and VICON® (infrared markers).
- Pilot study with five healthy participants performing Y-balance and side dip movements.
- Data analysis using MATLAB for frame equalization and SPSS for Intraclass Correlation Coefficient (ICC) calculation.
Main Results:
- High concordance observed between 4DEYE® and VICON® for joint angle measurements.
- Side dips (open kinetic chain) showed very high ICC (0.895-0.996).
- Y-balance test (closed kinetic chain) demonstrated high ICC (0.678-0.990).
Conclusions:
- The newly developed multi-view RGB sensor system demonstrates high reliability and validity.
- Measurement accuracy is consistent across open and closed kinetic chain exercises.
- This technology holds significant potential for diverse applications in exercise movement analysis.
