Data -Driven Texture Rendering on an Electrostatic Tactile...
Transcript of Data -Driven Texture Rendering on an Electrostatic Tactile...
Haptics & Robotics LabDepartment of Mechanical Engineering
Boğaziçi University
Data-Driven Texture Rendering on an
Electrostatic Tactile Display
Gholamreza ILkhaniPh.D. candidate
Workshop on Electrostatic Tactile DisplayIEEE World Haptics 2017
Fürstenfeldbruck (Munich), GermanJune 6
Electrostatic tactile display evolution
Senseg“Tixel1”
Disney Research “TeslaTouch2”
Tanvas3
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1. “Senseg”, https://www.senseg.com2. “Teslatouch” , https://www.disneyresearch.com3. “Tanvas”, https://tanvas.co
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You feel what you don’t see
“ Texture ”• Texture by its definition is the feel or shape of
a surface or substance.• In haptic science, texture is the quality which
is fashioned virtually and body perceives this virtually created property.
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Psychophysical Evaluation for Quality Extraction
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• Dimensions for texture perception and identification
1) Rough/Smooth 2) Hard/Soft3) Sticky/Slippery4) Warm/Cold • At least two dimensions are necessary for tactile
texture perception and maximum number of these dimensions must be covered for a realistic haptic
rendering“Psychophysical Dimensions of Tactile Perception of Textures” by Okamoto et al., 2013
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“Data-driven or measurement-based haptic rendering ”
An emerging technique which provides an opportunity to record data from real objects and
replay them on a haptic system
Two Hypothesis-Two parts experiments
• Hypothesis1 The data-driven method is more realistic in than
the ones generated with periodic signals.
• Hypothesis2Roughness and stickiness are the primary dimensions in the perception of virtually-
created textures using electrostatic attraction
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Part 1
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Tangential component of
the accelerations(X axis) for 3
materials VS.
square wave with 80Hz,
240Hz,400Hz
Data collection setup
Experimental procedure 11. Scaling of input voltage
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Result 1Lower voltage for data-driven signal
Experimental procedure 1
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2. Texture Similarity Rating
Result 2Higher similarity and classification number for data-drive method
Experimental procedure 1
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3. Multidimensional perceptual space
Result 3Data driven signals are closer
to their corresponding materials
Result 4Dimension 1: RoughnessDimension 2: Stickiness
Experimental procedure 2
12“One hundred data- driven haptic texture models and open-source methods for rendering on 3D objects” by Culbertson et al.
=∑− ∑
Experimental procedure 2
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Sample materials
Experimental procedure 2
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1. Scaling of input voltage
“skipped”
Just done for one material to find the converging scaling value
• Velocity updated for 10 interval• Normal force assumed constant F<0.5N
Experimental procedure 2
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Result 1Pretty acceptable similarity rating
and number of classification
2. Texture Similarity Rating
Experimental procedure 2
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3. Multidimensional perceptual spaceResult 2
• MDF, leather, foam fully rendered
• Plastic mesh and vinyl slightly deviated
• Abs plastic rubber lost fidelity
Result 3Dimension 1: RoughnessDimension 2: Stickiness
Conclusion
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• Type of the input signal is important while rendering a surface.
• Data-driven method is an efficient way for texture rendering.
• Roughness and stickiness are the primary dimensions of texture rendering on an electrostatic tactile display.
• Couldn’t draw any conclusion on effect of velocity.
Future study
• Vision effect on judgment• Effect of frequency on assigned signal• Increase number of material
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Haptics & Robotics LabDepartment of Mechanical Engineering
Boğaziçi University
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QUESTIONS?
Gholamreza Ilkhani, PhD candidatehttp://haptics.boun.edu.tr
Be realistic!