Whole-body Texture Rendering using Vibrotactile Phantom Sensation in Virtual Reality
The vibrotactile phantom sensation is a kind of illusion that allows a user to feel a single vibration between multiple stimulated body sites. Many studies have reported perceptual characteristics of the The vibrotactile phantom sensation using simple sinusoids so far, but still The vibrotactile phantom sensation studies using complex spectrum are rare in this field yet. In this research, we are trying to transfer texture information with the phantom sensation by finding optimal parameters in each body site.
Platform-sharable Vibrotactile Parameters
Despite of the numerous number of haptic researches on vibrotactile pattern perception, comparably a small number of patterns are practically used in mobile devices because of the lack of perceptual saliency over various form factors. This research is finding clearly recognizable vibrotactile parameters on mobile platforms that vary their form factors including size, weight, vibration intensity, and their mechanical response to vibrations.
for Human Vibrotactile Perception System
One of the major psychophysical experiments in Haptics is measuring the similarity/dissimilarity of vibrotactile stimuli pair to find out the most distinguishable vibrotactile patterns. However, the time and cost of conducting the experiments increase geometrically as the number of patterns increases. This drastic increment of experiment size usually limits the size of pattern sets so the design space of vibrotactile parameters are not complete scanned.
We suggest the vibrotactile perception system simulator, modeled by using Psychological knowledge, to expect similarity/dissimilarity of vibration pairs. This simulator may serve as a pre filter before the human studies and greatly save the experimental cost.
Development of Dental Care Training System
using Digital Twin and AI/XR Technology
For an immersive and effective interaction between virtual environment and human, tactile information is required as well as audiovisual information. Specifically, in order to express the shape and physical properties of an object, kinesthesia is essential which can be implemented with haptic rendering technology and force feedback devices.
Therefore, we build a system that renders 3DoF kinesthetic sensations and 1DoF tactile sensation simultaneously while capturing a user’s 6DoF movements. And we establish tactile data library and data-based reaction force calculation model of surgical tissue for realistic haptic rendering.We hope that this approach can be applied to any field where tactile information is essential for precise work. For example, it can be used to increase the precision of teleoperation or to train high-precision tasks that require a significant level of proficiency.