TY - JOUR

T1 - Authoring new haptic textures based on interpolation of real textures in affective space

AU - Hassan, Waseem

AU - Abdulali, Arsen

AU - Jeon, Seokhee

N1 - Funding Information: Manuscript received October 26, 2018; revised February 26, 2019; accepted March 31, 2019. Date of publication May 8, 2019; date of current version August 30, 2019. This work was supported in part by the Electronics and Telecommunications Research Institute funded by the Korean government under Grant 19ZS1300, “The Development of Smart Context-Awareness Foundation Technique for Major Industry Acceleration,” and in part by the Ministry of Science, ICT and Future Planning through the Institute for Information and Communications Technology Promotion under Grant 2017-0-00179, “HD Haptic Technology for Hyper Reality Contents.” (Corresponding author: Seokhee Jeon.) The authors are with the Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 446-701, South Korea (e-mail:, waseem.h@khu.ac.kr; abdulali@khu.ac.kr; jeon@khu.ac.kr). Publisher Copyright: © 1982-2012 IEEE.

PY - 2020/1

Y1 - 2020/1

N2 - This paper presents a novel haptic texture authoring algorithm. The main goal of this algorithm is to synthesize new virtual textures by manipulating the affective properties of already existing real-life textures. To this end, two different spaces are established: two-dimensional (2-D) 'affective space' built from a series of psychophysical experiments where real textures are arranged according to affective properties (hard-soft, rough-smooth) and 2-D 'haptic model space' where real textures are placed based on features from tool-surface contact acceleration patterns (movement-velocity, normal-force). Another space, called 'authoring space' is formed to merge the two spaces; correlating changes in affective properties of real-life textures to changes in actual haptic signals in haptic space. The authoring space is constructed such that features of the haptic model space that were highly correlated with affective space become axes of the space. As a result, new texture signals corresponding to any point in authoring space can be synthesized based on weighted interpolation of three nearest real surfaces in perceptually correct manner. The whole procedure including the selection of nearest surfaces, finding weights, and weighted interpolation of multiple texture signals are evaluated through a psychophysical experiment, demonstrating the competence of the approach. The results of evaluation experiment show an average normalized realism score of 94% for all authored textures.

AB - This paper presents a novel haptic texture authoring algorithm. The main goal of this algorithm is to synthesize new virtual textures by manipulating the affective properties of already existing real-life textures. To this end, two different spaces are established: two-dimensional (2-D) 'affective space' built from a series of psychophysical experiments where real textures are arranged according to affective properties (hard-soft, rough-smooth) and 2-D 'haptic model space' where real textures are placed based on features from tool-surface contact acceleration patterns (movement-velocity, normal-force). Another space, called 'authoring space' is formed to merge the two spaces; correlating changes in affective properties of real-life textures to changes in actual haptic signals in haptic space. The authoring space is constructed such that features of the haptic model space that were highly correlated with affective space become axes of the space. As a result, new texture signals corresponding to any point in authoring space can be synthesized based on weighted interpolation of three nearest real surfaces in perceptually correct manner. The whole procedure including the selection of nearest surfaces, finding weights, and weighted interpolation of multiple texture signals are evaluated through a psychophysical experiment, demonstrating the competence of the approach. The results of evaluation experiment show an average normalized realism score of 94% for all authored textures.

KW - Feature selection

KW - haptic texture

KW - interpolation

KW - perceptual space

KW - rendering

KW - texture authoring

U2 - 10.1109/TIE.2019.2914572

DO - 10.1109/TIE.2019.2914572

M3 - Journal article

AN - SCOPUS:85072099890

VL - 67

SP - 667

EP - 676

JO - I E E E Transactions on Industrial Electronics

JF - I E E E Transactions on Industrial Electronics

SN - 0278-0046

IS - 1

M1 - 8710002

ER -