Advanced Intelligent Systems (Apr 2020)

Virtual Texture Generated Using Elastomeric Conductive Block Copolymer in a Wireless Multimodal Haptic Glove

  • Colin V. Keef,
  • Laure V. Kayser,
  • Stazia Tronboll,
  • Cody W. Carpenter,
  • Nicholas B. Root,
  • Mickey Finn III,
  • Timothy F. O'Connor,
  • Sami N. Abuhamdieh,
  • Daniel M. Davies,
  • Rory Runser,
  • Ying Shirley Meng,
  • Vilayanur S. Ramachandran,
  • Darren J. Lipomi

DOI
https://doi.org/10.1002/aisy.202000018
Journal volume & issue
Vol. 2, no. 4
pp. n/a – n/a

Abstract

Read online

Haptic devices are in general more adept at mimicking the bulk properties of materials than they are at mimicking the surface properties. Herein, a haptic glove is described which is capable of producing sensations reminiscent of three types of near‐surface properties: hardness, temperature, and roughness. To accomplish this mixed mode of stimulation, three types of haptic actuators are combined: vibrotactile motors, thermoelectric devices, and electrotactile electrodes made from a stretchable conductive polymer synthesized in the laboratory. This polymer consists of a stretchable polyanion which serves as a scaffold for the polymerization of poly(3,4‐ethylenedioxythiophene). The scaffold is synthesized using controlled radical polymerization to afford material of low dispersity, relatively high conductivity, and low impedance relative to metals. The glove is equipped with flex sensors to make it possible to control a robotic hand and a hand in virtual reality (VR). In psychophysical experiments, human participants are able to discern combinations of electrotactile, vibrotactile, and thermal stimulation in VR. Participants trained to associate these sensations with roughness, hardness, and temperature have an overall accuracy of 98%, whereas untrained participants have an accuracy of 85%. Sensations can similarly be conveyed using a robotic hand equipped with sensors for pressure and temperature.

Keywords