Abstract
We report on the characterization of two variable friction electroadhesive displays using careful electrical and electrochemical impedance measurements. We qualitatively and quantitatively examine the properties of the skin, body, surface coating, and various electrode interface impedances in isolation using different contact interface conditions and measurement types. A lumped series impedance model explains how all impedances are related during normal usage, and the linearity of this model is shown to be valid under certain assumptions, such as high applied frequencies or small applied currents. Speculation as to the physical mechanisms underlying each impedance element is also given. This analysis unambiguously verifies the existence of a previously hypothesized key electrical system parameter: the sliding interfacial impedance (or air gap impedance). This parameter represents the large increase (100-1000 percent) in overall electrical impedance observed when a finger is sliding versus when it is stationary. It is concluded that this impedance increase cannot be explained by other measured electrical impedance elements in the system and that it vanishes again when the finger comes to rest.
Original language | English (US) |
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Title of host publication | IEEE Haptics Symposium, HAPTICS 2018 - Proceedings |
Editors | Yon Visell, Katherine J. Kuchenbecker, Gregory J. Gerling |
Publisher | IEEE Computer Society |
Pages | 151-157 |
Number of pages | 7 |
ISBN (Electronic) | 9781538654248 |
DOIs | |
State | Published - May 9 2018 |
Event | 2018 IEEE Haptics Symposium, HAPTICS 2018 - San Francisco, United States Duration: Mar 25 2018 → Mar 28 2018 |
Publication series
Name | IEEE Haptics Symposium, HAPTICS |
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Volume | 2018-March |
ISSN (Print) | 2324-7347 |
ISSN (Electronic) | 2324-7355 |
Other
Other | 2018 IEEE Haptics Symposium, HAPTICS 2018 |
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Country/Territory | United States |
City | San Francisco |
Period | 3/25/18 → 3/28/18 |
Funding
This material is based upon work supported by the National Science Foundation grant number IIS-1518602. Thanks to Oerlikon Balzers Coating USA, Inc. for the DLC coating, and Philip Chehade for processing the 3M discs. ACKNOWLEDGEMENT This material is based upon work supported by the National Science Foundation grant number IIS-1518602. Thanks to Oerlikon Balzers Coating USA, Inc. for the DLC coating, and Philip Chehade for processing the 3M discs.
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction