VT-ware: A wearable tactile device for upper extremity motion guidance

Yeon Sub Jin, Han Yong Chun, Eun Tai Kim, Sungchul Kang

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this study, we developed and evaluated a tactile stimulation device for upper extremity motion guidance. The developed device stimulates skin pressing directly using 'tapping.' A minimal number of actuators are used in the tactile stimulation device that is worn on the wrist. The device consists of six Tiny Ultrasonic Linear Actuator (TULA) modules, a control circuit, an upper case, and a lower case. We estimated motions through kinematic analysis of the upper extremities for motion guidance and our driving algorithm applied a tactile illusion to generate directional information cues and tapped one point using a tactile stimulation device to guide upper extremity motion. To evaluate the developed device, an experiment was conducted to test whether directional information can be successfully displayed by the device. As a result, it was found that the directional information cues could be reliably conveyed through the wrist with tactile stimulation using a 'tapping' method that is based on tactile illusion, though the number of actuators that display continuous tactile stimulation is limited.

Original languageEnglish
Pages335-340
Number of pages6
DOIs
Publication statusPublished - 2014 Oct 15
Event23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014 - Edinburgh, United Kingdom
Duration: 2014 Aug 252014 Aug 29

Other

Other23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014
CountryUnited Kingdom
CityEdinburgh
Period14/8/2514/8/29

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All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition

Cite this

Jin, Y. S., Chun, H. Y., Kim, E. T., & Kang, S. (2014). VT-ware: A wearable tactile device for upper extremity motion guidance. 335-340. Paper presented at 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014, Edinburgh, United Kingdom. https://doi.org/10.1109/ROMAN.2014.6926275