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Data-Driven Modeling and Rendering of Force Responses from Elastic Tool Deformation

从有弹性的工具变丑的力量回答的数据驱动的建模并且使变为

作     者:Abdulali, Arsen Rakhmatov, Ruslan Ogay, Tatyana Jeon, Seokhee 

作者机构:Kyung Hee Univ Dept Comp Engn Yongin 446701 South Korea 

出 版 物:《SENSORS》 (传感器)

年 卷 期:2018年第18卷第1期

页      面:237页

核心收录:

学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基  金:Ministry of Culture, Sports and Tourism(MCST) Korea Creative Content Agency(KOCCA) in the Culture Technology(CT) Research & Development Program 

主  题:haptic rendering tool deformation data-driven modeling force feedback 

摘      要:This article presents a new data-driven model design for rendering force responses from elastic tool deformation. The new design incorporates a six-dimensional input describing the initial position of the contact, as well as the state of the tool deformation. The input-output relationship of the model was represented by a radial basis functions network, which was optimized based on training data collected from real tool-surface contact. Since the input space of the model is represented in the local coordinate system of a tool, the model is independent of recording and rendering devices and can be easily deployed to an existing simulator. The model also supports complex interactions, such as self and multi-contact collisions. In order to assess the proposed data-driven model, we built a custom data acquisition setup and developed a proof-of-concept rendering simulator. The simulator was evaluated through numerical and psychophysical experiments with four different real tools. The numerical evaluation demonstrated the perceptual soundness of the proposed model, meanwhile the user study revealed the force feedback of the proposed simulator to be realistic.

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