Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset
IEEE AccessSign Language Recognition (SLR) represents a revolutionary technology aiming to establish communication between hearing impaired and non-hearing impaired communities, surpassing traditional interpreter-based approaches. Existing efforts in automatic sign
Abu Saleh Musa Miah +3 more
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Embedding Gesture Prior to Joint Shape Optimization Based Real-Time 3D Hand Tracking
IEEE Access, 2020 In this paper, we present a novel approach for 3D hand tracking in real-time from a set of depth images. In each frame, our approach initializes hand pose with learning and then jointly optimizes the hand pose and shape.
Yunlong Che, Yue Qi
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Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network
Sensors, 2021 The analysis of hand–object poses from RGB images is important for understanding and imitating human behavior and acts as a key factor in various applications.
Maomao Zhang +3 more
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Enhancing Recognition of Human–Object Interaction from Visual Data Using Egocentric Wearable Camera
Future InternetObject detection and human action recognition have great significance in many real-world applications. Understanding how a human being interacts with different objects, i.e., human–object interaction, is also crucial in this regard since it enables ...
Danish Hamid +4 more
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A Soft Proposal Segmentation Network (SPS-Net) for Hand Segmentation on Depth Videos
IEEE Access, 2019 Hand segmentation is an important prerequisite for acquiring accurate 3D hand poses on depth images, as it can significantly reduce the complicity of hand pose estimation.
Fan Yang, Yang Wu
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Multiscale feature fusion network for monocular complex hand pose estimation
Electronics Letters, 2023 Hand pose estimation based on a single RGB image has low accuracy due to the complexity of the pose, local self‐similarity of finger features, and occlusion.
Zhi Zhan, Guang Luo
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Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
A framework for automatic hand range of motion evaluation of rheumatoid arthritis patients
Informatics in Medicine Unlocked, 2021 We propose a framework for evaluation of finger movement patterns on Rheumatoid Arthritis patients: flexion, extension, abduction and adduction. The framework uses a state-of-the-art 3D hand pose estimation method that runs in real-time, allowing users ...
Luciano Walenty Xavier Cejnog +3 more
doaj +1 more source
Simulation Results for Manipulation of Unknown Objects in Hand [PDF]
, 2011 Li Q, Haschke R, Ritter H, Bolder B. Simulation Results for Manipulation of Unknown Objects in Hand. In: Proc. ROBIO. 2011.In this paper, the authors proposed a novel reactive strategy to solve a unknown object local manipulation problem with an ...
Bolder, Bram +3 more
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