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Conference Paper: On-line bio-impedance identification of fingertip skin for enhancement of electrotactile based haptic rendering

TitleOn-line bio-impedance identification of fingertip skin for enhancement of electrotactile based haptic rendering
Authors
Issue Date2011
Citation
IEEE International Conference on Intelligent Robots and Systems, 2011, p. 2133-2138 How to Cite?
AbstractIn this paper, we focus on developing a new constant-voltage-driver (CVD) based electrotactile display system. The system owns the feature of on-line identifying the bio-impedance parameters of fingertip skin for individual tactile preference tuning and haptic rendering enhancement. The identification method relies on a discrete-time extended least squares (ELS) iterative approach with forgetting factor (FF), which serves as an adaptive law to on-line estimate parameters of the first-order bio-impedance model of fingertip skin when the stimulation current control is performing in z-domain. Experimental results demonstrate the performance of the developed CVD electrotactile display, as well verify the effectiveness of the proposed on-line identification method. That is, it is capable of quickly estimating parameters of the fingertip skin bio-impedance model. The significance of our work is that it will greatly improve the tactile/haptic rendering performance of electrical stimulation (electrotactile) systems and benefits the development of electrotactile based haptic rendering devices and applications. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213214

 

DC FieldValueLanguage
dc.contributor.authorGregory, John-
dc.contributor.authorShen, Yantao-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:06:33Z-
dc.date.available2015-07-28T04:06:33Z-
dc.date.issued2011-
dc.identifier.citationIEEE International Conference on Intelligent Robots and Systems, 2011, p. 2133-2138-
dc.identifier.urihttp://hdl.handle.net/10722/213214-
dc.description.abstractIn this paper, we focus on developing a new constant-voltage-driver (CVD) based electrotactile display system. The system owns the feature of on-line identifying the bio-impedance parameters of fingertip skin for individual tactile preference tuning and haptic rendering enhancement. The identification method relies on a discrete-time extended least squares (ELS) iterative approach with forgetting factor (FF), which serves as an adaptive law to on-line estimate parameters of the first-order bio-impedance model of fingertip skin when the stimulation current control is performing in z-domain. Experimental results demonstrate the performance of the developed CVD electrotactile display, as well verify the effectiveness of the proposed on-line identification method. That is, it is capable of quickly estimating parameters of the fingertip skin bio-impedance model. The significance of our work is that it will greatly improve the tactile/haptic rendering performance of electrical stimulation (electrotactile) systems and benefits the development of electrotactile based haptic rendering devices and applications. © 2011 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE International Conference on Intelligent Robots and Systems-
dc.titleOn-line bio-impedance identification of fingertip skin for enhancement of electrotactile based haptic rendering-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IROS.2011.6048787-
dc.identifier.scopuseid_2-s2.0-84455191519-
dc.identifier.spage2133-
dc.identifier.epage2138-

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