Anthropometric aspects of the human skeleton
Journal of Education, Health and Sport, 2017 The anatomy deals with learning about the shape and structure of the human body, and at the same time it is the basis for all sciences whose scope of interest relates to the human body. Anthropometric studies are aimed at translating the size and shapes
Grzegorz Wróbel +2 more
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Quantifying the osteocyte network in the human skeleton
Bone, 2015 Osteocytes form an extensive cellular network throughout the hard tissue matrix of the skeleton, which is known to regulate skeletal structure. However due to limitations in imaging techniques, the magnitude and complexity of this network remain undefined.
Buenzli, Pascal, Sims, Natalie
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Refining the mandibular osteoradionecrosis rat model by in vivo longitudinal µCT analysis
Scientific Reports, 2021 Osteoradionecrosis (ORN) is one of the most feared side effects of radiotherapy following cancers of the upper aero-digestive tract and leading to severe functional defects in patients. Today, our lack of knowledge about the physiopathology restricts the
Morgane Dos Santos +7 more
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Fall Detection and Activity Recognition Using Human Skeleton Features
IEEE Access, 2021 Human activity recognition has attracted the attention of researchers around the world. This is an interesting problem that can be addressed in different ways. Many approaches have been presented during the last years.
Heilym Ramirez +5 more
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BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN
Sensors, 2023 Recently, the scientific community has placed great emphasis on the recognition of human activity, especially in the area of health and care for the elderly. There are already practical applications of activity recognition and unusual conditions that use
Heilym Ramirez +4 more
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Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor
, 2019 Skeleton-based 3D object retrieval is a very efficient method to query the sketch databases in numerous applications. However, few skeleton images are found so far in existing sketch benchmarks.
Xin Shi (139139) +7 more
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Skeleton Based Action Recognition Algorithm on Multi-modal Lightweight Graph Convolutional Network
Jisuanji kexue yu tansuo, 2021 Compared with the traditional RGB-based methods, the skeleton-based action recognition methods have become the main research direction in the field of computer vision in recent years because they are less affected by many factors such as illumination ...
SU Jiangyi, SONG Xiaoning, WU Xiaojun, YU Dongjun
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Drill pipe counting method based on improved spatial-temporal graph convolution neural network
Gong-kuang zidonghua, 2023 There are some problems in the existing drill pipe counting methods, such as repeated labor, large counting error, and failure to consider the timing information of actions.
DU Jingyi +4 more
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View Enhanced Jigsaw Puzzle for Self-Supervised Feature Learning in 3D Human Action Recognition
IEEE Access, 2022 Self-supervised learning methods have received much attention in skeleton-based human action recognition. These methods rely on pretext tasks to utilize unlabeled data and learn an effective feature encoder.
Wei You, Xue Wang
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Research on Simulation System for Human-SRL Collaborative Motion Planning
Journal of Robotics, 2022 At present, there is a problem of visual area switching in the existing SRL (supernumerary robotic limb) operation methods. In response to this problem, the authors’ previous work proposed a new SRL operation method called relatively independent ...
Xiaobo Zhang, Jinguo Liu, Yangmin Li
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