Validation of the Perception Neuron system for full-body motion capture
Autor: | Corliss Zhi Yi Choo, Jia Yi Chow, John Komar |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Adult
Male Muscle Physiology Physiology Knees Movement Science Walking Knee Joints Motion Wearable Electronic Devices Imaging Three-Dimensional Skeletal Joints Medicine and Health Sciences Humans Biomechanics Range of Motion Articular Musculoskeletal System Skeleton Multidisciplinary Biological Locomotion Ankles Biology and Life Sciences Optical Devices Reproducibility of Results Wrist Ankle Joints Biomechanical Phenomena Arms Shoulders Body Limbs Legs Medicine Female Anatomy Musculoskeletal Mechanics Research Article |
Zdroj: | PLoS ONE, Vol 17, Iss 1 (2022) PLoS ONE, Vol 17, Iss 1, p e0262730 (2022) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as a cost effective and portable alternative to traditional optoelectronic motion capture systems in analyzing biomechanical performance. One such commercially available IMU is the Perception Neuron motion capture system (PNS). The accuracy of the PNS had been tested and was reported to be a valid method for assessing the upper body range of motion to within 5° RMSE. However, testing of the PNS was limited to upper body motion involving functional movement within a single plane. Therefore, the purpose of this study is to further validate the Perception Neuron system with reference to a conventional optoelectronic motion capture system (VICON) through the use of dynamic movements (e.g., walking, jogging and a multi-articular sports movement with object manipulation) and to determine its feasibility through full-body kinematic analysis. Validation was evaluated using Pearson’s R correlation, RMSE and Bland-Altman estimates. Present findings suggest that the PNS performed well against the VICON motion analysis system with most joint angles reporting a RMSE of < 4° and strong average Pearson’s R correlation of 0.85, with the exception of the shoulder abduction/adduction where RMSE was larger and Pearson’s R correlation at a moderate level. Bland-Altman analysis revealed that most joint angles across the different movements had a mean bias of less than 10°, except for the shoulder abduction/adduction and elbow flexion/extension measurements. It was concluded that the PNS may not be the best substitute for traditional motion analysis technology if there is a need to replicate raw joint angles. However, there was adequate sensitivity to measure changes in joint angles and would be suitable when normalized joint angles are compared and the focus of analysis is to identify changes in movement patterns. |
Databáze: | OpenAIRE |
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