Haptic Objects
Haptic Objects - Related Videos
08:16
Adaptation of a Haptic Robot in a 3T fMRI
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Cited by 2 •
2011
The adaptation and use of a haptic robot in a 3T fMRI is described.
14:38
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Cited by 12 •
2012
We describe a novel methodology for creating naturalistic 3-D objects and object categories with precisely defined feature variations. We use simulations of the biological processes of morphogenesis and phylogenesis to create novel, naturalistic virtual 3-D objects and object categories that can then be rendered as visual images or haptic objects.
09:07
Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
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Cited by 4 •
2015
To date research has focused on cognitive strategies people adopt to cope with uncertainty. This research examines instead an experiential way of dealing with uncertainty and introduces a set of experimental methods showing how the experience of haptic softness can serve as a tool to deal with uncertainty.
13:44
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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Cited by 8 •
2011
Recently, a vast amount of prospects have come available for human-robot interactive systems. In this paper we outline the integration of a new robotic device with open source software that can rapidly make possible a library of interactive functionality. We then outline a clinical application for a neurorehabilitation application.
10:14
Object Substitution Masking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Visual masking is a term used by perceptual scientists to refer to a wide range of phenomena in which in an image is presented but not perceived by an observer because of the presentation of a second image. There are several different kinds of masking, many of them relatively intuitive and unsurprising. But one surprising and important type of masking is called Object Substitution Masking. It has been a focus of research in vision...
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Their controlled displacements, vibrations, or resistance stimulate skin mechanoreceptors while also engaging proprioceptive pathways, which convey information about body position and movement. Presenting these signals through a physical or virtual item allows researchers to examine how the nervous system combines mechanical input with ongoing action, rather than treating touch as an isolated sensory response.
Researchers can control properties such as surface texture, shape, stiffness, motion, and force. These variables provide distinct mechanical cues that can be adjusted while observing detection, discrimination, or grasping behavior. Comparing responses across controlled properties helps reveal how sensory information is represented and how particular cues contribute to perception or action.
Neural activity shows how the nervous system responds to mechanical stimulation, whereas behavioral measures reveal whether that information supports successful perception or movement. Pairing the two helps relate sensory coding to outcomes such as detecting a stimulus, distinguishing between objects, or grasping an item, providing a more complete account of perception and action.
A study can present a physical or virtual object with a controlled displacement, vibration, or resistance, then record neural activity while participants or other subjects perform a defined task. Researchers can compare detection, discrimination, or grasping responses across stimulus properties. This workflow connects the delivered mechanical cue with both neural processing and observable behavior.
By linking touch-related signals with movement and proprioceptive information, haptic objects provide a controlled way to study how the nervous system combines sensory inputs during action. Researchers can examine how an object becomes functionally related to the body through grasping or interaction, supporting investigations of multisensory integration, motor control, and embodiment.
Results from these studies can inform rehabilitation, prosthetic design, virtual environments, and assistive technologies. Understanding how people detect, discriminate, and act on controlled mechanical cues may guide systems that communicate information through texture, force, motion, or resistance. The same research also connects basic neuroscience findings about sensory coding with engineered interfaces for practical use.