Effect of the tactile array density on the discrimination of edge patterns: Implications for tactile systems design

Tactile arrays are devices that can provide spatially distributed cutaneous signals delivering important information during haptic exploration and manipulation procedures. One of the key specifications to design a tactile array is the density of the array elements that is believed to directly affect the effectiveness of the device. Most of the systems developed so far use the generally accepted standard that matches the array density to the spatial resolution in the human fingertip. This work investigates the effect of the array density on the human capacity to discriminate edge patterns. Psychophysical experiments were performed to quantify subjects' tactile discrimination capacity and indicate that within this perception context, tactile arrays with lower spatial resolution than the one indicated in the fingertip are able to transmit pattern information accurately. This will allow the design of array systems with lower complexity (smaller number of elements) and still effective in conveying tactile cues of certain contexts.

[1]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[2]  S. Lederman Tactual roughness perception: Spatial and temporal determinants. , 1983 .

[3]  K. O. Johnson,et al.  Human tactile pattern recognition: active versus passive touch, velocity effects, and patterns of confusion. , 1991, Journal of neurophysiology.

[4]  S. Saida,et al.  Tactile pattern recognition by graphic display: Importance of 3-D information for haptic perception of familiar objects , 1993, Perception & psychophysics.

[5]  K. O. Johnson,et al.  A psychophysical study of the mechanisms of sensory recovery following nerve injury in humans. , 1994, Brain : a journal of neurology.

[6]  P. M. Taylor,et al.  A sixty-four element tactile display using shape memory alloy wires , 1998 .

[7]  Makoto Shimojo,et al.  Human shape recognition performance for 3D tactile display , 1999, IEEE Trans. Syst. Man Cybern. Part A.

[8]  M. Shimoda,et al.  Human Shape Recognition Performance for 3-D Tactile Display , 1999 .

[9]  Nikolaos G. Tsagarakis,et al.  An integrated tactile/shear feedback array for stimulation of finger mechanoreceptor , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[10]  Kenneth O. Johnson,et al.  Tactile Functions of Mechanoreceptive Afferents Innervating the Hand , 2000, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[11]  Hiroyuki Shinoda,et al.  Necessary spatial resolution for realistic tactile feeling display , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[12]  Ian R Summers,et al.  A broadband tactile array on the fingertip. , 2002, The Journal of the Acoustical Society of America.

[13]  James C Craig,et al.  Identification of scanned and static tactile patterns , 2002, Perception & psychophysics.

[14]  Nikolaos G. Tsagarakis,et al.  A 5 dof haptic interface for pre-operative planning of surgical access in hip arthroplasty , 2005, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics Conference.

[15]  Abderrahmane Kheddar,et al.  VITAL: An electromagnetic integrated tactile display , 2007, Displays.

[16]  Kenneth O. Johnson,et al.  A dense array stimulator to generate arbitrary spatio-temporal tactile stimuli , 2007, Journal of Neuroscience Methods.

[17]  Jeremy M. Wolfe,et al.  Sensation and Perception , 2008 .