A5064402502- Hand Gesture Recognition Systems
- Human Pose and Action Recognition
- Human Motion and Animation
- Robot Manipulation and Learning
- Modular Robots and Swarm Intelligence
- Gaze Tracking and Assistive Technology
- Robotic Mechanisms and Dynamics
Universidad Rey Juan Carlos
2020-2021
Tracking and reconstructing the 3D pose geometry of two hands in interaction is a challenging problem that has high relevance for several human-computer applications, including AR/VR, robotics, or sign language recognition. Existing works are either limited to simpler tracking settings ( e.g. , considering only single hand spatially separated hands), rely on less ubiquitous sensors, such as depth cameras. In contrast, this work we present first real-time method motion capture skeletal...
Tracking and reconstructing the 3D pose geometry of two hands in interaction is a challenging problem that has high relevance for several human-computer applications, including AR/VR, robotics, or sign language recognition. Existing works are either limited to simpler tracking settings (e.g., considering only single hand spatially separated hands), rely on less ubiquitous sensors, such as depth cameras. In contrast, this work we present first real-time method motion capture skeletal surface...
Natural interaction with virtual objects relies on two major technology components: hand tracking and hand-object physics simulation. There are functional solutions for these components, but their representations may differ in size skeletal morphology, hence making the connection non-trivial. In this paper, we introduce a pose retargeting strategy to connect tracked simulated representations, have formulated solved as an optimization problem. We also carried out user study that demonstrates...