Biometric User Identification by Forearm EMG Analysis-Reference-Cited by-同舟云学术

Biometric User Identification by Forearm EMG Analysis

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics - Taiwan
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Author:

Pleva Matus¹,Korecko Stefan²,Hladek Daniel¹,Bours Patrick³,Skudal Markus Hoff⁴,Liao Yuan-Fu⁵

Affiliation:

1. Technical University Kosice,Department of Electronics and Multimedia Communications,Kosice,Slovakia

2. Technical University Kosice,Department of Computers and Informatics,Kosice,Slovakia

3. Norwegian University of Science and Technology,Department of Information Security and Communication Technology,Gjøvik,Norway

4. Norwegian University of Science and Technology,Department of Industrial Economics and Technology Management,Trondheim,Norway

5. National Taipei University of Technology, TaipeiTech,Department of Electronic Engineering,Taipei,Taiwan

Funder

Slovak Research and Development Agency

Ministry of Education, Science, Research and Sport of the Slovak Republic

Cultural and Educational Grant Agency

Ministry of Science and Technology

National Taiwan University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9868970/9868972/09869268.pdf?arnumber=9869268

Reference5 articles.

1. Comparing natural and strong typing behavior for keystroke dynamics multimodal database collection;skudal;NISK,2021

2. An EMG-Based, Real-Time Personal Identification Method Using an Gesture-Detection 1D Convolutional Neural Networks

3. Improving static audio keystroke analysis by score fusion of acoustic and timing data

4. Personal authentication and hand motion recognition based on wrist EMG analysis by a convolutional neural network;shioji;2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS),0

5. Hand Movement Activity-Based Character Input System on a Virtual Keyboard

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