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Validation of a Biomechanical Injury and Disease Assessment Platform Applying an Inertial-Based Biosensor and Axis
Wangdo Kim1,2, Emir A Vela1,2, Sean S Kohles3,4,5,6
1Ingeniería Mecánica, Universidad de Ingenieria y Tecnologia-UTEC, Lima 15063, Peru.
Electronics
|November 17, 2023
Summary
This study introduces a new algorithm for Inertial Measurement Unit (IMU)-based human motion tracking using axis-angle representations. This method enhances biomechanical analysis and could aid in detecting joint diseases and injuries.
Area of Science:
- Biomechanics
- Human Motion Analysis
- Sensor Technology
Background:
- Human biomechanical function is significantly influenced by inertial kinetics and kinematics.
- Accurate motion tracking is crucial for understanding human movement and diagnosing potential issues.
- Existing methods may have limitations in representing complex joint rotations.
Purpose of the Study:
- To present a novel algorithm for Inertial Measurement Unit (IMU)-based motion tracking.
- To combine advanced biosensor technology with motion-tracking hardware for human movement analysis.
- To utilize joint axis-angle representations for limb rotation measurement.
Main Methods:
- Developed an algorithm for IMU-based motion tracking using axis-angle representations of limb rotation.
- Employed quaternions for representing three-dimensional rotations as an alternative to Euler angles.
- Validated the analytical method using laboratory data from infant dummy leg movements and a living subject's upper limb movement.
Main Results:
- The novel axis-angle approach demonstrated reasonable handling of simple movement cases.
- The algorithm provided a detailed analysis of axis-angle migration during movement.
- Direct measurement of joint angular velocities by IMUs improved axis of rotation estimations.
Conclusions:
- The described algorithm offers a valuable tool for biomechanical analysis of human joints.
- This approach may facilitate the development of IMU-based biosensors for detecting pathological joint conditions.
- The axis-angle representation offers advantages for graphics, vision, and virtual reality applications.
