Abstract
Electrical Impedance Tomography (EIT) is a method used to display, through an image, the conductivity distribution inside a domain by using measurements taken from electrodes placed at its periphery. This paper presents our prototype of a stretchable touch sensor, which is based on the EIT method. We then test its performance by comparing voltage data acquired from testing with two different materials, using the performance parameters Signal-to-Noise Ratio (SNR), Boundary Voltage Changes (BVC) and Singular Value Decomposition (SVD). The paper contributes to the literature by demonstrating that, depending on the present stimuli position over the conductive domain, the selection of electrodes on which current injection and voltage reading are performed, can be chosen dynamically resulting in an improved quality of the reconstructed image and system performance.
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Acknowledgments
The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union Seventh Framework Programme FP7/2007-2013/under REA grant agreement number 608022.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Russo, S., Carbonaro, N., Tognetti, A., Nefti-Meziani, S. (2017). A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography. In: Perego, P., Andreoni, G., Rizzo, G. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-58877-3_43
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