Validation of Fuze IMU system for ergonomics assessments
Serra-Hsu, E.; Taboga, P.
Show abstract
This study aims to validate the Fuze system (SwiftMotion, CA, USA), against the gold standard for motion capture, a 3D infra-red motion capture system (Vicon Nexus, Oxford, UK). Fuze system uses inertial measurement units and proprietary algorithms to calculate position and orientation of each body segment Six subjects (3M and 3F) performed two activities that simulate common occupational physical activities. For both systems, we calculated the following joint angles: trunk relative to horizontal, left and right shoulder and hip joint angles. We also calculated the horizontal distance of each wrist relative to the the fifth lumbar vertebra. For each measurement, we calculated Bias (average difference between Fuze and Vicon system) and root mean squared error (RMSE). We also compared each measurement using a Statistical Parametric Mapping (SPM) method with a statistical significance level set at 0.05. Compared to Vicon, Fuze system had a maximum Bias of 5.63 {+/-} 1.60 degrees for the left shoulder angle and a maximum RMSE of 10.03 {+/-} 2.73 degrees for the left hip angle. SPM analysis evidenced that for all the measurements, comparisons were within the critical thresholds for significance for the whole duration of the trials, indicating that we could not find a significant difference between Vicon and Fuze measurements. In conclusion: the Fuze system compares well with the Vicon system and provides reliable data for the measurement of joint angles and body positions, that can be used in particular in non labbased settings, for example in ergonomics risk assessments.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Inter-session repeatability of markerless motion capture gait kinematics 97%
- Firefighter Helmets and Cervical Intervertebral Kinematics: An OpenSim-Based Biomechanical Study 96%
- Moving outside the lab: markerless motion capture accurately quantifies sagittal plane kinematics during the vertical jump 96%
Similar papers in this journal
- Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching 96%
- Validity and reliability of inertial measurement units in active range of motion assessment in the hip joint 95%
- Development and validation of 2D-LiDAR-based gait analysis instrument and algorithm 95%
Similar papers in this journal
- How Well Do Commonly Used Co-Contraction Indices Approximate Lower Limb Joint Stiffness Trends during Gait? 95%
- Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking 95%
- Vision affects gait speed but not patterns of muscle activation during inclined walking - a virtual reality study 94%
Similar papers in this journal
- Quantifying mechanical loading and elastic strain energy of the human Achilles tendon during walking and running 95%
- Playing the piano with a robotic third thumb: Assessing constraints of human augmentation 95%
- The Ramp protocol: Uncovering individual differences in walking to an auditory beat using TeensyStep 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.