Search results for "deep water running"

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Markerless 2D kinematic analysis of underwater running : A deep learning approach

2018

Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present study, we used a markerless deep learning-based method to perform 2D kinematic analysis of deep water running, a task that poses several challenges to image processing methods. A single GoPro camera recorded sagittal plane lower limb motion. A deep neural network was trained using data from 17 individuals, and then used to predict the locations of markers that approximated joint centres. We found that 300–400 labelled images were sufficient to tra…

QA75Motion analysisComputer scienceQP301.H75_Physiology._Sport.0206 medical engineeringBiomedical EngineeringBiophysicsVideo RecordingSTRIDEImage processing02 engineering and technologyKinematicstekoälySports biomechanicsRunning03 medical and health sciencesMotion0302 clinical medicineImmersionImage Processing Computer-AssistedHumansOrthopedics and Sports MedicineComputer visionliikeanalyysita315liikeoppiGV557_SportsArtificial neural networkPixelbusiness.industryDeep learningmotion analysisRehabilitationvesijuoksuReproducibility of Resultsdeep learningdeep water runningartificial intelligence020601 biomedical engineeringBiomechanical PhenomenaLower ExtremitykinematicsArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryJournal of Biomechanics
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Markerless 2D kinematic analysis of underwater running : A deep learning approach

2019

Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present study, we used a markerless deep learning-based method to perform 2D kinematic analysis of deep water running, a task that poses several challenges to image processing methods. A single GoPro camera recorded sagittal plane lower limb motion. A deep neural network was trained using data from 17 individuals, and then used to predict the locations of markers that approximated joint centres. We found that 300–400 labelled images were sufficient to tra…

liikeoppivesijuoksudeep learningliikeanalyysideep water runningtekoäly
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