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Real-Time Gait Analysis of the Pelvis and Lower Limbs Using a Seven-Node IMU Network
Xiao Wang1, Lin Wang1, Liangyang Luo1
1College of Electronics and Information, Qingdao University, Qingdao 266071, China.
Sensors (Basel, Switzerland)
|May 13, 2026
Summary
This study presents a new wearable system for real-time multi-segment gait analysis using inertial sensors. It accurately measures spatiotemporal parameters and joint angles for quantitative gait assessment.
Area of Science:
- Biomechanics
- Wearable Technology
- Sensor Technology
Background:
- Wearable inertial gait analysis faces challenges with segment coverage and integration drift.
- Accurate quantitative gait assessment is crucial for clinical applications.
Purpose of the Study:
- To develop a real-time multi-segment gait analysis method using wearable inertial sensors.
- To overcome limitations in current wearable gait analysis systems.
Main Methods:
- Utilized seven MEMS-IMUs placed on the pelvis and lower limbs.
- Employed parameter adaptive nonlinear complementary filtering and foot-based event detection.
- Calculated spatiotemporal parameters and joint angles in real-time.
Main Results:
- Achieved sagittal joint angle Root Mean Square Errors (RMSEs) below 2.37°.
- Reported pelvic angle RMSEs below 0.96°.
- Demonstrated high correlation coefficients (>0.89) with optical motion capture during normal walking.
Conclusions:
- The proposed system offers a low-cost, portable solution for quantitative gait analysis.
- Real-time 3D skeletal visualization supports the system's utility.
- Potential for future use in rehabilitation monitoring warrants further clinical validation.
