21 citations · 53 across the 4 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2025
Paving the Way Towards Kinematic Assessment Using Monocular Video: A Preclinical Benchmark of State-of-the-Art Deep-Learning-Based 3D Human Pose Estimators Against Inertial Sensors in Daily Living Activities
Mario Medrano-Paredes, Carmen Fernández-González, Francisco-Javier Díaz-Pernas +3
Advances in machine learning and wearable sensors offer new opportunities for capturing and analyzing human movement outside specialized laboratories. Accurate assessment of human…
cs.CV2023★ 11 cited
Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)
Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez +3
Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movem…