Results 91 to 100 of about 9,322,993 (252)
3D Human Pose Estimation from Images
, 2021 Human Pose Estimation is the process of tracking and predicting human key points such as limbs and joints. Many real-life intelligence and security applications demand accurate human pose estimation including human activity recognition, camera ...
Rauf, Samee
core
Progressive Parkinsonism in PPP2R5D‐Related Neurodevelopmental Disorder
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT PPP2R5D‐related neurodevelopmental disorder (Houge–Janssens syndrome type 1) is a rare autosomal dominant condition characterized by macrocephaly, intellectual disability, and epilepsy. Progressive parkinsonism is an emerging adult phenotype that neurologists should be aware of since timely genetic diagnosis opens the door to disease‐modifying
Katerina Bernardi +6 more
wiley +1 more source
3D hand pose estimation with neural networks
, 2013 We propose the design of a real-time system to recognize and interprethand gestures. The acquisition devices are low cost 3D sensors. 3D hand pose will be segmented, characterized and track using growing neural gas (GNG) structure.The capacity of the ...
Serra, J.A. +8 more
core +1 more source
Prior-free 3D human pose estimation in a video using limb-vectors
ICT ExpressEstimating accurate 3D human poses from a monocular video is fundamental to various computer vision tasks. Existing methods exploit 2D-to-3D pose lifting, multiview images, and depth sensors to model spatio-temporal dependencies.
Anam Memon +7 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among patients receiving long‐term HCQ with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain optical coherence tomography (SD‐OCT) for screening ...
Narsis Daftarian +4 more
wiley +1 more source
Improved Convolutional Pose Machines for Human Pose Estimation Using Image Sensor Data
Sensors, 2019 In recent years, increasing human data comes from image sensors. In this paper, a novel approach combining convolutional pose machines (CPMs) with GoogLeNet is proposed for human pose estimation using image sensor data.
Baohua Qiang +4 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh +5 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer +4 more
wiley +1 more source
Robust analysis of P3P pose estimation
, 2007 In this paper, the robustness of pose estimation, which is relative to the input error, is investigated from the view of actual projects, with the P3P problem having unique solution.
Hao YM(郝颖明) +5 more
core
In-Bed Pose Estimation: Deep Learning With Shallow Dataset
IEEE Journal of Translational Engineering in Health and Medicine, 2019 This paper presents a robust human posture and body parts detection method under a specific application scenario known as in-bed pose estimation.
Shuangjun Liu, Yu Yin, Sarah Ostadabbas
doaj +1 more source