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Facial electromyogram-based facial gesture recognition for hands-free control of an AR/VR environment: optimal gesture set selection and validation of feasibility as an assistive technology

Crossref DOI link: https://doi.org/10.1007/s13534-023-00277-9

Published Online: 2023-04-11

Published Print: 2023-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Chunghwan

Kim, Chaeyoon

Kim, HyunSub

Kwak, HwyKuen

Lee, WooJin

Im, Chang-Hwan https://orcid.org/0000-0003-3795-3318
Funding

Funding for this research was provided by:

Defense Acquisition Program Administration (KRIT-CT-21-027)
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Text and Data Mining valid from 2023-04-11

Version of Record valid from 2023-04-11
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Article History

Received: 6 March 2023

Revised: 1 April 2023

Accepted: 3 April 2023

First Online: 11 April 2023

Declarations

:

: The authors have not disclosed any competing interests.

: The experimental protocol was approved by the Institutional Review Board (IRB) of Hanyang University, South Korea (IRB No. HYUIRB-202209-024-1).

: All participants signed a written consent after being informed of the experimental protocol.

: The authors affirm that human research participants provided informed consent for publishing the images in Figs. b and

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