Commercial vision sensors and AI-based pose estimation frameworks for markerless motion analysis in sports and exercises: a mini review. [PDF]
Edriss S +5 more
europepmc +1 more source
Quantitative Evaluation and Optimization of Museum Fatigue Using Computer Vision Human Pose Estimation. [PDF]
Cheng Z, Zhang Y, Zhang L.
europepmc +1 more source
Generating synthetic images of human skeletal motion for pose and kinematics estimation tasks. [PDF]
Lavikainen J +6 more
europepmc +1 more source
The Application of Deep Learning Human Pose Estimation in Sport: A Systematic Review. [PDF]
Aulton C +4 more
europepmc +1 more source
A machine learning study highlighting the challenges of fidgety movement recognition using vision and inertial sensors. [PDF]
Lentzsch F +13 more
europepmc +1 more source
Fitness exercise evaluation system based on improved DTW algorithm. [PDF]
Guo T +6 more
europepmc +1 more source
Enhanced keypoint recognition framework via multi-scale feature characteristics. [PDF]
Huang M, Gao J, Ma L.
europepmc +1 more source
Diffusion models enable zero-shot pose estimation for lower-limb prosthetic users. [PDF]
Zhou T, Iskandar MNS, Chiam KH.
europepmc +1 more source
Optimization Method of Human Posture Recognition Based on Kinect V2 Sensor. [PDF]
Li H, Li H, Qin Y, Liu Y.
europepmc +1 more source
How accurately can we estimate spontaneous body kinematics from video recordings? Effect of movement amplitude on OpenPose accuracy. [PDF]
Koul A, Novembre G.
europepmc +1 more source

