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

doi:10.1109/URAI.2017.7992727

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 proceeding › Conference contribution

4 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 language	English
Title of host publication	2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	271-273
Number of pages	3
ISBN (Electronic)	9781509030552
DOIs	https://doi.org/10.1109/URAI.2017.7992727
Publication status	Published - 2017 Jul 25
Event	14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of Duration: 2017 Jun 28 → 2017 Jul 1

Publication series

Name	2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017

Other

Other	14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Country/Territory	Korea, Republic of
City	Jeju
Period	17/6/28 → 17/7/1

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

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

Access to Document

10.1109/URAI.2017.7992727

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). Article 7992727 (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2017.7992727

Flexible force sensor based input device for gesture recognition applicable to augmented and virtual realities. / Kim, Jinyong; Kwak, Yeon Hwa; Kim, Wonhyo et al.
2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 271-273 7992727 (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, J, Kwak, YH, Kim, W, Park, K, Pak, JJ & 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., 7992727, 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 271-273, 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, Jeju, Korea, Republic of, 17/6/28. https://doi.org/10.1109/URAI.2017.7992727

Kim J, Kwak YH, Kim W, Park K, Pak JJ, Kim K. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 271-273. 7992727. (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017). doi: 10.1109/URAI.2017.7992727

Kim, Jinyong ; Kwak, Yeon Hwa ; Kim, Wonhyo et al. / Flexible force sensor based input device for gesture recognition applicable to augmented and virtual realities. 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 271-273 (2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017).

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AB - 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.

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

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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