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Assessment of model-based image-matching for future reconstruction of unhelmeted sport head impact kinematics
- Source :
- Sports Biomechanics. 17:33-47
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
Abstract
- Player-to-player contact inherent in many unhelmeted sports means that head impacts are a frequent occurrence. Model-Based Image-Matching (MBIM) provides a technique for the assessment of three-dimensional linear and rotational motion patterns from multiple camera views of a head impact event, but the accuracy is unknown for this application. The goal of this study is to assess the accuracy of the MBIM method relative to reflective marker-based motion analysis data for estimating six degree of freedom head displacements and velocities in a staged pedestrian impact scenario at 40 km/h. Results showed RMS error was under 20 mm for all linear head displacements and 0.01-0.04 rad for head rotations. For velocities, the MBIM method yielded RMS errors between 0.42 and 1.29 m/s for head linear velocities and 3.53-5.38 rad/s for angular velocities. This method is thus beneficial as a tool to directly measure six degree of freedom head positional data from video of sporting head impacts, but velocity data is less reliable. MBIM data, combined in future with velocity/acceleration data from wearable sensors could be used to provide input conditions and evaluate the outputs of multibody and finite element head models for brain injury assessment of sporting head impacts.
- Subjects :
- Motion analysis
Computer science
Movement
0206 medical engineering
Poison control
Physical Therapy, Sports Therapy and Rehabilitation
Image processing
02 engineering and technology
Kinematics
Models, Biological
03 medical and health sciences
Acceleration
0302 clinical medicine
Risk Factors
Humans
rugby
Orthopedics and Sports Medicine
Computer vision
image
Brain Concussion
business.industry
Rotation around a fixed axis
Reproducibility of Results
030229 sport sciences
020601 biomedical engineering
Finite element method
Biomechanical Phenomena
Time and Motion Studies
Athletic Injuries
concussion
Head (vessel)
processing
Artificial intelligence
business
Head
Sports
Subjects
Details
- ISSN :
- 17526116 and 14763141
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Sports Biomechanics
- Accession number :
- edsair.doi.dedup.....c8c4ee1120da8b7c5b57eeb2d6ac199a