Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/222396
Title: Improving 3D Shape Recognition withElectrostatic Friction Display
Authors: Reza Haghighi Osgouei;Jin Ryong Kim;Seungmoon Choi
Year: 2017
Publisher: IEEE
Abstract: Electrovibration technology has the potential for seamless integration into ordinary smartphones and tablets to provide programmable haptic feedback. The aim of this work is to seek effective ways to improve 3D perception of visual objects rendered on an electrovibration display. Utilizing a gradient-based algorithm, we first investigated whether rendering only lateral frictional force on an electrovibration display improves 3D shape perception compared to doing the same using a force-feedback interface. We observed that although users do not naturally associate electrovibration patterns to geometrical shapes, they can map patterns to shapes with moderate accuracy if guidance or context is given. Motivated by this finding, we generalized the gradient-based rendering algorithm to estimate the surface gradient for any 3D mesh and added an edge detection algorithm to render sharp edges. Then, we evaluated the advantages of our algorithm in a user study and found that our algorithm can notably improve the performance of 3D shape recognition when visual information is limited.
URI: http://localhost/handle/Hannan/222396
volume: 10
issue: 4
More Information: 533,
544
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7937894.pdf1.19 MBAdobe PDF
Title: Improving 3D Shape Recognition withElectrostatic Friction Display
Authors: Reza Haghighi Osgouei;Jin Ryong Kim;Seungmoon Choi
Year: 2017
Publisher: IEEE
Abstract: Electrovibration technology has the potential for seamless integration into ordinary smartphones and tablets to provide programmable haptic feedback. The aim of this work is to seek effective ways to improve 3D perception of visual objects rendered on an electrovibration display. Utilizing a gradient-based algorithm, we first investigated whether rendering only lateral frictional force on an electrovibration display improves 3D shape perception compared to doing the same using a force-feedback interface. We observed that although users do not naturally associate electrovibration patterns to geometrical shapes, they can map patterns to shapes with moderate accuracy if guidance or context is given. Motivated by this finding, we generalized the gradient-based rendering algorithm to estimate the surface gradient for any 3D mesh and added an edge detection algorithm to render sharp edges. Then, we evaluated the advantages of our algorithm in a user study and found that our algorithm can notably improve the performance of 3D shape recognition when visual information is limited.
URI: http://localhost/handle/Hannan/222396
volume: 10
issue: 4
More Information: 533,
544
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7937894.pdf1.19 MBAdobe PDF
Title: Improving 3D Shape Recognition withElectrostatic Friction Display
Authors: Reza Haghighi Osgouei;Jin Ryong Kim;Seungmoon Choi
Year: 2017
Publisher: IEEE
Abstract: Electrovibration technology has the potential for seamless integration into ordinary smartphones and tablets to provide programmable haptic feedback. The aim of this work is to seek effective ways to improve 3D perception of visual objects rendered on an electrovibration display. Utilizing a gradient-based algorithm, we first investigated whether rendering only lateral frictional force on an electrovibration display improves 3D shape perception compared to doing the same using a force-feedback interface. We observed that although users do not naturally associate electrovibration patterns to geometrical shapes, they can map patterns to shapes with moderate accuracy if guidance or context is given. Motivated by this finding, we generalized the gradient-based rendering algorithm to estimate the surface gradient for any 3D mesh and added an edge detection algorithm to render sharp edges. Then, we evaluated the advantages of our algorithm in a user study and found that our algorithm can notably improve the performance of 3D shape recognition when visual information is limited.
URI: http://localhost/handle/Hannan/222396
volume: 10
issue: 4
More Information: 533,
544
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7937894.pdf1.19 MBAdobe PDF