A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning-Reference-Cited by-同舟云学术

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A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning

Published:2024-05-01 Issue:9 Volume:24 Page:14778-14791
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Azar Golara Ahmadi¹^ORCID,Hu Qin²^ORCID,Emami Melika¹,Fletcher Alyson³,Rangan Sundeep²^ORCID,Atashzar S. Farokh⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of California at Los Angeles (UCLA), Los Angeles, CA, USA

2. Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA

3. Department of Electrical and Computer Engineering and Department of Statistics, Mathematics, and Computer Science, University of California at Los Angeles (UCLA), Los Angeles, CA, USA

4. Department of Mechanical and Aerospace Engineering, Biomedical Engineering, NYU WIRELESS, New York, NY, USA

Funder

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7361/10516472/10477310-aam.pdf

Reference60 articles.

1. Estimating the Prevalence of Limb Loss in the United States: 2005 to 2050

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