Contact Region Estimation
Contact Region Estimation - Related Videos
09:41
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Cited by 9 •
2023
When we grasp an object, multiple regions of the fingers and hand typically make contact with the object's surface. Reconstructing such contact regions is challenging. Here, we present a method for approximately estimating the contact regions by combining marker-based motion capture with existing deep learning-based hand mesh reconstruction.
01:13
Contact Angle
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2023
When a solid is dipped inside a liquid, the liquid surface becomes curved near the contact. For some solid–liquid interfaces, the liquid is pulled up along the solid, while for others, the liquid surface is convex or depressed near the solid surface. This phenomenon can be explained using the concept of cohesive and adhesive forces. The adhesive force is the molecular force between molecules of different materials, that is, between the molecules of the solid and the liquid. The cohesive force...
05:13
Estimation of Structural Sensitivity of Intrinsically Disordered Regions in Response to Hyperosmotic Stress in Living Cells Using FRET
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Cited by 1 •
2024
Intrinsically disordered regions (IDRs) are flexible protein domains that modify their conformation in response to environmental changes. Ensemble fluorescence resonance energy transfer (FRET) can estimate protein dimensions under different conditions. We present a FRET approach to assess IDR structural sensitivity in living Saccharomyces cerevisiae cells under hyperosmotic stress.
07:05
The Precision of Visual Working Memory with Delayed Estimation
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Human memory is limited. Throughout most of its history, experimental psychology has focused on investigating the discrete, quantitative limits of memory—how many individual pieces of information a person can remember. Recently, experimental psychologists have also become interested in more qualitative limits—how precisely is information stored? The concept of memory precision can be both intuitive and elusive at once. It is...
01:06
What are Estimates?
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2023
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
FAQs
Changing conditions can alter the visual or sensor cues associated with touch, making the estimated region less stable or less distinct from nearby surfaces. A useful analysis therefore considers not only whether contact is present, but also how consistently the cues identify the location, shape, and extent of the interaction. This supports more reliable interpretation of movement and physical behavior.
The analysis focuses on cues that indicate interaction rather than simple spatial proximity. It compares the available visual or sensor information to determine which surface portions are actually touching and which are merely adjacent. This distinction is important because nearby objects can otherwise be mistaken for contact, leading to inaccurate descriptions of grasping, support, collision, or social interaction.
These outputs describe different aspects of the same interaction. Position indicates where contact occurs, shape characterizes its spatial form, and extent represents how much surface is involved. Together, they provide more information than a contact-versus-no-contact label, allowing behavior researchers to compare interactions and relate physical contact patterns to movement or other observable actions.
Contact estimates add physical-interaction information to movement analysis. A trajectory alone may show that an agent or body part moved, whereas the estimated contact region can indicate whether that movement involved grasping, support, collision, or social contact. Incorporating these cues can make behavioral descriptions more precise and improve interpretation of actions that depend on where and how contact occurs.
A basic workflow begins by analyzing visual or sensor data for cues associated with touch. The analysis then separates touching regions from nearby surfaces and estimates the relevant location, shape, or extent. Finally, those measurements can be related to the observed movement or interaction. The workflow is adaptable because the available data may come from visual information, sensors, or both.
The approach can support several fields that need to interpret physical interaction. In robotics, it can help characterize contact during object handling or collision. Human-computer interaction can use contact information to study interactions between people and systems, while biomechanical analysis can relate contact to movement. Computer vision provides another context for extracting and interpreting these spatial interaction cues.
In behavior research, the contact region provides a spatial link between an observed action and the physical interaction producing it. Researchers can use it to examine grasping, support, collision, or social contact while tracking where the interaction occurs and how broadly it extends. This additional detail strengthens behavioral characterization and helps connect movement patterns with interaction-specific outcomes.