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Online optical marker-based hand tracking with deep labels
Optical marker-based motion capture is the dominant way for obtaining high-fidelity human
body animation for special effects, movies, and video games. However, motion capture has …
body animation for special effects, movies, and video games. However, motion capture has …
Virtual reality for immersive multi-user firefighter-training scenarios
Background Virtual reality (VR) applications can be used to provide comprehensive training
scenarios that are difficult or impossible to represent in physical configurations. This …
scenarios that are difficult or impossible to represent in physical configurations. This …
A deep learning approach for foot trajectory estimation in gait analysis using inertial sensors
Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
Practical 3D human skeleton tracking based on multi-view and multi-Kinect fusion
In this paper, we proposed a multi-view system for 3D human skeleton tracking based on
multi-cue fusion. Multiple Kinect version 2 cameras are applied to build up a low-cost …
multi-cue fusion. Multiple Kinect version 2 cameras are applied to build up a low-cost …
Automated gap-filling for marker-based biomechanical motion capture data
Marker-based motion capture presents the problem of gaps, which are traditionally
processed using motion capture software, requiring intensive manual input. We propose and …
processed using motion capture software, requiring intensive manual input. We propose and …
Soma: Solving optical marker-based mocap automatically
Marker-based optical motion capture (mocap) is the" gold standard" method for acquiring
accurate 3D human motion in computer vision, medicine, and graphics. The raw output of …
accurate 3D human motion in computer vision, medicine, and graphics. The raw output of …
Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Abstract Real-time optical Motion Capture (MoCap) systems have not benefited from the
advances in modern data-driven modeling. In this work we apply machine learning to solve …
advances in modern data-driven modeling. In this work we apply machine learning to solve …
DAMO: A Deep Solver for Arbitrary Marker Configuration in Optical Motion Capture
Marker-based optical motion capture (mocap) systems are increasingly utilized for acquiring
3D human motion, offering advantages in capturing the subtle nuances of human …
3D human motion, offering advantages in capturing the subtle nuances of human …
[HTML][HTML] Validation of marker-less system for the assessment of upper joints reaction forces in exoskeleton users
This paper presents the validation of a marker-less motion capture system used to evaluate
the upper limb stress of subjects using exoskeletons for locomotion. The system fuses the …
the upper limb stress of subjects using exoskeletons for locomotion. The system fuses the …
Development and validation of a deep learning algorithm and open-source platform for the automatic labelling of motion capture markers
The purpose of this work was to develop an open-source deep learning-based algorithm for
motion capture marker labelling that can be trained on measured or simulated marker …
motion capture marker labelling that can be trained on measured or simulated marker …