Virtual Keyboards With Real-Time and Robust Deep Learning-Based Gesture Recognition-Reference-Cited by-同舟云学术

Virtual Keyboards With Real-Time and Robust Deep Learning-Based Gesture Recognition

Published:2022-08 Issue:4 Volume:52 Page:725-735
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Lee Tae-Ho¹^ORCID,Kim Sunwoong²^ORCID,Kim Taehyun¹^ORCID,Kim Jin-Sung³^ORCID,Lee Hyuk-Jae¹^ORCID

Affiliation:

1. Inter-University Semiconductor Research Center, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea

2. Division of Engineering and Mathematics, University of Washington, Bothell, WA, USA

3. Department of Electronic Engineering, Sun Moon University, Asan, South Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation

Ministry of Science and ICT, Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/9829905/09764762.pdf?arnumber=9764762

Reference45 articles.

1. Modifying Keyboard Layout to Reduce Finger-Travel Distance

2. Qwerty-like 3x4 keypad layouts for mobile phone

3. 500 American English sentences mostly used;dextto,2021

4. Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

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