Contact Detection
11 papers with code • 1 benchmarks • 1 datasets
Static-friction contact detection in legged locomotion
Most implemented papers
Capturing and Inferring Dense Full-Body Human-Scene Contact
We capture a new dataset called RICH for "Real scenes, Interaction, Contact and Humans."
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
We present a comprehensive study on discrete morphological symmetries of dynamical systems, which are commonly observed in biological and artificial locomoting systems, such as legged, swimming, and flying animals/robots/virtual characters.
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
As a result, our CONTHO achieves state-of-the-art performance in both human-object contact estimation and joint reconstruction of 3D human and object.
Populating 3D Scenes by Learning Human-Scene Interaction
Second, we show that POSA's learned representation of body-scene interaction supports monocular human pose estimation that is consistent with a 3D scene, improving on the state of the art.
Do Pedestrians Pay Attention? Eye Contact Detection in the Wild
In urban or crowded environments, humans rely on eye contact for fast and efficient communication with nearby people.
Robust Contact State Estimation in Humanoid Walking Gaits
The framework is quantitatively and qualitatively assessed in simulation via the use of ground-truth contact data and is contrasted against state of-the-art methods with an ATLAS, a NAO, and a TALOS humanoid robot.
Learning Video-independent Eye Contact Segmentation from In-the-Wild Videos
In this work, we address the task of one-way eye contact detection for videos in the wild.
Reconstructing Three-Dimensional Models of Interacting Humans
Understanding 3d human interactions is fundamental for fine-grained scene analysis and behavioural modeling.
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild
In contrast, we focus on inferring dense, 3D contact between the full body surface and objects in arbitrary images.
Subtle Signals: Video-based Detection of Infant Non-nutritive Sucking as a Neurodevelopmental Cue
Non-nutritive sucking (NNS), which refers to the act of sucking on a pacifier, finger, or similar object without nutrient intake, plays a crucial role in assessing healthy early development.