Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating
Joint Authors
Schena, Emiliano
Saccomandi, Paola
Oddo, Calogero Maria
Zollo, Loredana
Formica, Domenico
Romeo, Rocco Antonio
Massaroni, Carlo
Caponero, Michele Arturo
Guglielmelli, Eugenio
Silvestri, Sergio
Vitiello, Nicola
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This work shows the development and characterization of a fiber optic tactile sensor based on Fiber Bragg Grating (FBG) technology.
The sensor is a 3 × 3 array of FBGs encapsulated in a PDMS compliant polymer.
The strain experienced by each FBG is transduced into a Bragg wavelength shift and the inverse characteristics of the sensor were computed by means of a feedforward neural network.
A 21 mN RMSE error was achieved in estimating the force over the 8 N experimented load range while including all probing sites in the neural network training procedure, whereas the median force RMSE was 199 mN across the 200 instances of a Monte Carlo randomized selection of experimental sessions to evaluate the calibration under generalized probing conditions.
The static metrological properties and the possibility to fabricate sensors with relatively high spatial resolution make the proposed design attractive for the sensorization of robotic hands.
Furthermore, the proved MRI-compatibility of the sensor opens other application scenarios, such as the possibility to employ the array for force measurement during functional MRI-measured brain activation.
American Psychological Association (APA)
Saccomandi, Paola& Oddo, Calogero Maria& Zollo, Loredana& Formica, Domenico& Romeo, Rocco Antonio& Massaroni, Carlo…[et al.]. 2015. Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating. Journal of Sensors،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070107
Modern Language Association (MLA)
Saccomandi, Paola…[et al.]. Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating. Journal of Sensors No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1070107
American Medical Association (AMA)
Saccomandi, Paola& Oddo, Calogero Maria& Zollo, Loredana& Formica, Domenico& Romeo, Rocco Antonio& Massaroni, Carlo…[et al.]. Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070107
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070107