Title
Artificial Roughness Encoding with a Bio-inspired MEMS-based Tactile Sensor Array
Abstract
A compliant 2x2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm(2), similarly to the SA1 innervation density in humans. Experimental analysis of the bio-inspired tactile sensor array was performed by using ridged surfaces, with spatial periods from 2.6 mm to 4.1 mm, which were indented with regulated 1N normal force and stroked at constant sliding velocity from 15 mm/s to 48 mm/s. A repeatable and expected frequency shift of the sensor outputs depending on the applied stimulus and on its scanning velocity was observed between 3.66 Hz and 18.46 Hz with an overall maximum error of 1.7%. The tactile sensor could also perform contact imaging during static stimulus indentation. The experiments demonstrated the suitability of this approach for the design of a roughness encoding tactile sensor for an artificial fingerpad.
Year
DOI
Venue
2009
10.3390/s90503161
SENSORS
Keywords
Field
DocType
MEMS tactile sensor array,bio-inspired sensor,roughness encoding,dynamic touch,static contact imaging
Biomedical engineering,Frequency shift,Indentation,Microelectromechanical systems,Maximum error,Electronic engineering,Surface finish,Normal force,Engineering,Encoding (memory),Tactile sensor
Journal
Volume
Issue
Citations 
9
5
13
PageRank 
References 
Authors
1.29
8
5
Name
Order
Citations
PageRank
Calogero Maria Oddo112315.81
Lucia Beccai210816.85
Martin Felder35618.59
Francesco Giovacchini4131.29
Maria Chiara Carrozza551966.98