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- Publisher Website: 10.1109/IROS.2011.6048787
- Scopus: eid_2-s2.0-84455191519
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Conference Paper: On-line bio-impedance identification of fingertip skin for enhancement of electrotactile based haptic rendering
Title | On-line bio-impedance identification of fingertip skin for enhancement of electrotactile based haptic rendering |
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Authors | |
Issue Date | 2011 |
Citation | IEEE International Conference on Intelligent Robots and Systems, 2011, p. 2133-2138 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/213214 |
DC Field | Value | Language |
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dc.contributor.author | Gregory, John | - |
dc.contributor.author | Shen, Yantao | - |
dc.contributor.author | Xi, Ning | - |
dc.date.accessioned | 2015-07-28T04:06:33Z | - |
dc.date.available | 2015-07-28T04:06:33Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | IEEE International Conference on Intelligent Robots and Systems, 2011, p. 2133-2138 | - |
dc.identifier.uri | http://hdl.handle.net/10722/213214 | - |
dc.description.abstract | In 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.language | eng | - |
dc.relation.ispartof | IEEE International Conference on Intelligent Robots and Systems | - |
dc.title | On-line bio-impedance identification of fingertip skin for enhancement of electrotactile based haptic rendering | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/IROS.2011.6048787 | - |
dc.identifier.scopus | eid_2-s2.0-84455191519 | - |
dc.identifier.spage | 2133 | - |
dc.identifier.epage | 2138 | - |