Automatic pose estimation in newborn infants: Lessons from the Baby Grow study. [PDF]
Sotoodeh MS +5 more
europepmc +1 more source
Lightweight deep learning technology for high quality development and intelligent transformation of sports under DeepLabV3 CSP Darknet53 model. [PDF]
Zhang J.
europepmc +1 more source
3D Pose Estimation Using Virtual Projection Based on 3D Reconstructed Model. [PDF]
Kim JW +5 more
europepmc +1 more source
Markerless motion analysis : evaluation of OpenPose software for clinical gait analysis [PDF]
Motion analysis plays a crucial role in clinical, research, and rehabilitation settings. Markerless motion capture (MMC) could offer a cheaper, quicker and more accessible alternative to movement analysis than marker-based approaches. OpenPose is an open-
Riches, Phil +3 more
core
duet: An R package for dyadic analysis of motion data generated by OpenPose. [PDF]
Efthimiou TN, Crompton CJ.
europepmc +1 more source
Comparison of deep learning-based three-dimensional human pose estimation methods with motion capture for gesture research. [PDF]
Ienaga N, Sekine K.
europepmc +1 more source
Exploring the expression of emotions in children's body posture using OpenPose [PDF]
Emotions regulate social interactions from early in ontogeny, but are difficult to assess in young children. Previous studies used body posture to measure emotion expressions, employing depth-sensor imaging cameras.
Hepach, Robert +3 more
core
Reliability and validity of OpenPose for measuring HKA angle in dynamic walking videos in patients with knee osteoarthritis. [PDF]
Ge F, Wu C, Ge F, Xu S, Xiao J.
europepmc +1 more source
Pose-Driven Cow Behavior Recognition in Complex Barn Environments: A Method Combining Knowledge Distillation and Deployment Optimization. [PDF]
Hu J +7 more
europepmc +1 more source
Confidence-Aware Gated Multimodal Fusion for Robust Temporal Action Localization in Occluded Environments. [PDF]
Takami M, Fukuda T.
europepmc +1 more source

