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Updated: May 25, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
Published on: March 28, 2025
Dynamically characterizing bioimpedance of fingertip skin through a developed CVD based electrotactile rendering
Yantao Shen1, John Gregory, Claire E Shelton
1Department of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 89557, USA. ytshen@unr.edu
Abstract:
In this paper, by combining a newly developed constant-voltage-driver (CVD) based electrotactile rendering system with an on-line identification method, parameters of the resistor-capacitor (R-C) load bioimpedance model of fingertip skin are dynamically characterized and analyzed. The CVD rendering system is capable of producing varying stimulation voltage/current waveforms to fingertip. The proposed on-line identification method is a discrete-time extended least squares (ELS) iterative approach with forgetting factor (FF), which serves as an adaptive law to estimate parameters of the bioimpedance model of fingertip skin during performing the stimulation current tracking control in z-domain. Experimental results demonstrate dynamic characteristics of the identified fingertip skin bioimpedance for the sampled population.
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