Anwesha Khasnobish, Monalisa Pal, Amit Konar, Dewaki Nandan Tibarewala, Atulya K. Nagar

View Full Paper


  1. [1] A. Amedi, N. Raz, H. Azulay, R. Malach, & E. Zohary, Cortical activity during tactile exploration of objects in blind and sighted humans, Restorative neurology and neuroscience, 28(2), 2010, 143-156.
  2. [2] T. W. James, S. Kim, & J. S. Fisher, The neural basis of haptic object processing. Canadian Journal of Experimental Psychology, 61(3), 2007, 219-229.
  3. [3] M. Grunwald, T. Weiss, W. Krause, L. Beyer, R. Rost, I. Gutberlet, & H. J. Gertz, Power of theta waves in the EEG of human subjects increases during recall of haptic information. Neuroscience Letters, 260(3), 1999, 189-192.
  4. [4] H. Nakamoto, W. Fukui, F. Kobayashi, F. Kojima, N. Imamura, & H. Shirasawa, Shape classification based on tactile information by Universal Robot Hand. In Industrial Electronics, IECON'09, 35th Annual Conference of IEEE, 2009, 2360-2365.
  5. [5] M. Craddock, & R. Lawson, The effects of size changes on haptic object recognition, Attention, Perception, & Psychophysics, 71(4), 2009, 910-923.
  6. [6] M. Pal, A. Khasnobish, A. Konar, D. N. Tibarewala, & R. Janarthanan, Classification of Deformable and NonDeformable Surfaces by Tactile Image Analysis. In Control, Instrumentation, Energy & Communication (CIEC 14), IEEE International Conference on, 2014, 701-705.
  7. [7] N. Jamali, P. Byrnes-Preston, R. Salleh, & C. Sammut, Texture recognition by tactile sensing. In Australasian Conference on Robotics and Automation (ACRA), 2009.
  8. [8] M. Meier, M. Schopfer, R. Haschke, & H. Ritter, A probabilistic approach to tactile shape reconstruction, Robotics, IEEE Transactions on, 27(3), 2011, 630-635.
  9. [9] F. De Boissieu, C. Godin, B. Guilhamat, D. David, C. Serviere, & D. Baudois, Tactile texture recognition with a 3-axial force MEMS integrated artificial finger. In Robotics: Science and Systems, 2009.
  10. [10] S. H. Kim, J. Engel, C. Liu, & D. L. Jones, Texture classification using a polymer-based MEMS tactile sensor, Journal of micromechanics and microengineering, 15(5), 2005, 912-920.
  11. [11] http://www.tekscan.com/grip-pressure-measurement
  12. [12] R. C. Gonzalez, R. E. Woods, & S. L. Eddins, Digital image processing using MATLAB (Vol. 2, Knoxville: Gatesmark Publishing, 2009).
  13. [13] S. Liu, H. Yi, L. T. Chia, & D. Rajan, Adaptive hierarchical multi-class SVM classifier for texture-based image classification. In Multimedia and Expo, ICME 2005, IEEE International Conference on, 2005, 4.
  14. [14] A. K. Nazeer, & M. P. Sebastian, Improving the Accuracy and Efficiency of the k-means Clustering Algorithm. In Proceedings of the World Congress on Engineering, 2009, 1-3.
  15. [15] M. D. Lieberman, & W. A. Cunningham, Type I and Type II error concerns in fMRI research: re-balancing the scale. Social Cognitive and Affective Neuroscience, 4(4), 2009, 423-428.
  16. [16] S. Theodoridis, & K. Koutroumbas, Pattern recognition (Fourth Edition, Academic Press, MA, USA, 2008).
  17. [17] P. A. Lachenbruch, & C. J. Lynch, Assessing screening tests: extensions of Mc Nemar’s Test, Statistics in medicine, 17, 1998, 2207-2217.

Important Links:

Go Back