Sensing texture using an artificial finger and a data analysis based on the standard deviation

The results from experiments with a screen-printed piezoelectric sensor, mounted on an artificial finger-tip and including a cosmetic covering, are shown to detect surface information from regular texture patterns. For the automatic control of an artificial hand and to feedback information to the amputee, an algorithm has been developed based on the standard deviation (SD) of signal data from the sensor. The SD analysis for texture detection is novel as it uses a combination of arithmetic processes. It windows the data sequentially and calculates the SD of the data in the windows and then averages the SDs. The output from the algorithm is the frequency spectrum of a signal. Plots, from the output of the algorithm, show events that correspond to the cyclic waveforms produced from the regularity of object surface patterns. The results from the algorithm are confirmed with an analysis of the signals using fast Fourier transforms.

[1]  M. Choti,et al.  Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies , 2014, Science Translational Medicine.

[3]  Silvestro Micera,et al.  Design of a cybernetic hand for perception and action , 2006, Biological Cybernetics.

[4]  M L Boninger,et al.  Ten-dimensional anthropomorphic arm control in a human brain−machine interface: difficulties, solutions, and limitations , 2015, Journal of neural engineering.

[5]  G. De Maria,et al.  Force/tactile sensor for robotic applications , 2012 .

[6]  Keehoon Kim,et al.  On the Design of Miniature Haptic Devices for Upper Extremity Prosthetics , 2010, IEEE/ASME Transactions on Mechatronics.

[7]  Gerald E. Loeb,et al.  Bayesian Exploration for Intelligent Identification of Textures , 2012, Front. Neurorobot..

[8]  M. M. Taylor,et al.  Tactile roughness of grooved surfaces: A model and the effect of friction , 1975 .

[9]  Christoph H. Lampert,et al.  Learning Dynamic Tactile Sensing With Robust Vision-Based Training , 2011, IEEE Transactions on Robotics.

[10]  J. Fawcett,et al.  A regenerative microchannel neural interface for recording from and stimulating peripheral axons in vivo , 2012, Journal of neural engineering.

[11]  T Mano,et al.  Mechanisms of fine-surface-texture discrimination in human tactile sensation. , 1999, The Journal of the Acoustical Society of America.

[12]  M. Hollins,et al.  The vibrations of texture , 2003, Somatosensory & motor research.

[13]  Haopeng Li,et al.  Sift-based improvement of depth imagery , 2011, 2011 IEEE International Conference on Multimedia and Expo.

[14]  K. O. Johnson,et al.  SA1 and RA receptive fields, response variability, and population responses mapped with a probe array. , 1999, Journal of neurophysiology.

[15]  Nawid Jamali,et al.  Material classification by tactile sensing using surface textures , 2010, 2010 IEEE International Conference on Robotics and Automation.

[16]  R. Johansson,et al.  Properties of cutaneous mechanoreceptors in the human hand related to touch sensation. , 1984, Human neurobiology.

[17]  E. Biddiss,et al.  Upper limb prosthesis use and abandonment: A survey of the last 25 years , 2007, Prosthetics and orthotics international.

[18]  Yon Visell,et al.  Tactile sensory substitution: Models for enaction in HCI , 2009, Interact. Comput..

[19]  P. Janney,et al.  Texture classification using invariant features of local textures , 2010 .

[20]  Siamak Najarian,et al.  A Tactile Sensor for Detection of Skin Surface Morphology and its Application in Telemedicine Systems , 2008 .

[21]  Harith Ahmad,et al.  Estimation of metal surface roughness using fiber optic displacement sensor , 2010 .

[22]  N.M. White,et al.  A Novel Thick-Film Piezoelectric Slip Sensor for a Prosthetic Hand , 2007, IEEE Sensors Journal.

[23]  Christian Cipriani,et al.  Roughness Encoding for Discrimination of Surfaces in Artificial Active-Touch , 2011, IEEE Transactions on Robotics.

[24]  A. Wing,et al.  Active touch sensing , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[25]  T. Prescott,et al.  Biomimetic vibrissal sensing for robots , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[26]  G. Debrégeas,et al.  The Role of Fingerprints in the Coding of Tactile Information Probed with a Biomimetic Sensor , 2009, Science.

[27]  Maurizio Valle,et al.  Guest Editorial Special Issue on Robotic Sense of Touch , 2011, IEEE Trans. Robotics.

[28]  Gregory Dudek,et al.  A Simple Tactile Probe for Surface Identification by Mobile Robots , 2011, IEEE Transactions on Robotics.

[29]  Nawid Jamali,et al.  Majority Voting: Material Classification by Tactile Sensing Using Surface Texture , 2011, IEEE Transactions on Robotics.