Flexible force sensor based input device for gesture recognition applicable to augmented and virtual realities

Jinyong Kim, Yeon Hwa Kwak, Wonhyo Kim, Kwangbum Park, James Jungho Pak, Kunnyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

With the development of smart devices supporting VR (Virtual Reality) and AR (Augmented Reality), users' input devices are changing to wearable devices. The existing input devices for gesture recognition were relatively rigid. In this research, we propose a gesture recognition device by using a flexible substrate to manufacture a device that can be used in close contact with a user's wrist. An array of flexible resistive strain gauge sensors was fabricated for sensing spatial muscle movements of the wrist. The fabricated strain sensors showed a linearly varying output characteristic, and a sensitivity of 0.05143 Ω/g was obtained for a load test from 0 to 500 g. A circuit board for processing sensor data was fabricated and a program was coded for collecting the sensor data from the circuit board. With this system, it was confirmed that the average recognition rate per gesture is 94.6% after applying these input devices directly to five basic wrists gestures on five test subjects.

Original languageEnglish
Title of host publication2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages271-273
Number of pages3
ISBN (Electronic)9781509030552
DOIs
Publication statusPublished - 2017 Jul 25
Event14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of
Duration: 2017 Jun 282017 Jul 1

Other

Other14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
CountryKorea, Republic of
CityJeju
Period17/6/2817/7/1

Keywords

  • AR (Augmented Reality)
  • Flexible
  • Gesture Recognition
  • Input Device
  • VR (Virtual Reality)

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering
  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

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  • Cite this

    Kim, J., Kwak, Y. H., Kim, W., Park, K., Pak, J. J., & Kim, K. (2017). Flexible force sensor based input device for gesture recognition applicable to augmented and virtual realities. In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 (pp. 271-273). [7992727] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2017.7992727