نتایج جستجو برای: joints body parts

تعداد نتایج: 910185  

Journal: :SADJ : journal of the South African Dental Association = tydskrif van die Suid-Afrikaanse Tandheelkundige Vereniging 2012
P J van der Vyver C van der Merwe F S Botha F A de Wet

Journal: :SADJ : journal of the South African Dental Association = tydskrif van die Suid-Afrikaanse Tandheelkundige Vereniging 2012
F S Botha C van der Merwe P J van der Vyver F A de Wet

2016
Amjad Askary Joanna Smeeton Sandeep Paul Simone Schindler Ingo Braasch Nicholas A Ellis John Postlethwait Craig T Miller J Gage Crump

Synovial joints are the lubricated connections between the bones of our body that are commonly affected in arthritis. It is assumed that synovial joints first evolved as vertebrates came to land, with ray-finned fishes lacking lubricated joints. Here, we examine the expression and function of a critical lubricating protein of mammalian synovial joints, Prg4/Lubricin, in diverse ray-finned fishe...

Journal: :Energies 2021

The type of occupant activities is a significantly important factor to determine indoor thermal comfort; thus, an accurate method estimate activity needs be developed. purpose this study was develop deep neural network (DNN) model for estimating the joint location diverse human activities, which will used provide comfortable environment. DNN trained with images 14 joints person performing 10 co...

Journal: :Pattern Recognition 2023

Graph convolutional networks (GCNs) are widely adopted in skeleton-based action recognition due to their powerful ability model data topology. We argue that the performance of recent proposed methods is limited by following factors. First, predefined graph structures shared throughout network, lacking flexibility and capacity multi-grain semantic information. Second, relations among global join...

Journal: :Computer Vision and Image Understanding 2021

Skeleton-based Human Activity Recognition has achieved great interest in recent years as skeleton data demonstrated being robust to illumination changes, body scales, dynamic camera views, and complex background. In particular, Spatial-Temporal Graph Convolutional Networks (ST-GCN) be effective learning both spatial temporal dependencies on non-Euclidean such graphs. Nevertheless, an encoding o...

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