DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors [PDF]
Sensors, 2019 In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflective straps and patches (reflectors).
Anargyros Chatzitofis +3 more
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Synchronizing eye tracking and optical motion capture: How to bring them together [PDF]
Journal of Eye Movement Research, 2018 Both eye tracking and motion capture technologies are nowadays frequently used in human sciences, although both technologies are usually used separately.
Birgitta Burger +2 more
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A Locality-based Neural Solver for Optical Motion Capture [PDF]
SIGGRAPH Asia 2023 Conference Papers, 2023 We present a novel locality-based learning method for cleaning and solving optical motion capture data. Given noisy marker data, we propose a new heterogeneous graph neural network which treats markers and joints as different types of nodes, and uses graph convolution operations to extract the local features of markers and joints and transform them to ...
Xiaoyu Pan +10 more
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Scattered Data Processing Approach Based on Optical Facial Motion Capture [PDF]
Applied Bionics and Biomechanics, 2013 In recent years, animation reconstruction of facial expressions has become a popular research field in computer science and motion capture-based facial expression reconstruction is now emerging in this field.
Qiang Zhang +2 more
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IEEE Transactions on Medical Robotics and BionicsMarker-based Optical Motion Capture (OMC) paired with biomechanical modeling is currently considered the most precise and accurate method for measuring human movement kinematics. However, combining differentiable biomechanical modeling with Markerless Motion Capture (MMC) offers a promising approach to motion capture in clinical settings, requiring ...
Tim Unger +7 more
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Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder Disorders. [PDF]
Int J Environ Res Public Health, 2022 Shoulder dysfunctions represent the third musculoskeletal disorder by frequency. However, monitoring the movement of the shoulder is particularly challenging due to the complexity of the joint kinematics.
Longo UG +7 more
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ARTNet for Micro-Expression Recognition [PDF]
SensorsThe field of micro-expression recognition (MER) has garnered considerable attention for its potential to reveal an individual’s genuine emotional state. However, MER remains a formidable challenge, primarily due to the subtle nature and brief duration of
Chao Wan +4 more
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Optical motion capture dataset of selected techniques in beginner and advanced Kyokushin karate athletes. [PDF]
Sci Data, 2021 Human motion capture is commonly used in various fields, including sport, to analyze, understand, and synthesize kinematic and kinetic data. Specialized computer vision and marker-based optical motion capture techniques constitute the gold-standard for ...
Szczęsna A, Błaszczyszyn M, Pawlyta M.
europepmc +2 more sources
Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol. [PDF]
Sensors (Basel), 2021 Healthy adults and neurological patients show unique mobility patterns over the course of their lifespan and disease. Quantifying these mobility patterns could support diagnosing, tracking disease progression and measuring response to treatment.
Warmerdam E +22 more
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Development of a Low-Cost Markerless Optical Motion Capture System for Gait Analysis and Anthropometric Parameter Quantification. [PDF]
Sensors (Basel)Technological advancements have expanded the range of methods for capturing human body motion, including solutions involving inertial sensors (IMUs) and optical alternatives.
Espitia-Mora LA +2 more
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