EMG Data Collection for Multimodal Keystroke Analysis-Reference-Cited by-同舟云学术

EMG Data Collection for Multimodal Keystroke Analysis

Published:2022-09-26 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Advanced Computer Information Technologies (ACIT)
language:
Short-container-title:

Author:

Korecko Stefan¹,Haluska Matus¹,Pleva Matus²,Skudal Markus Hoff³,Bours Patrick⁴

Affiliation:

1. Technical university of Kosice,Faculty of Electrical Engineering and Informatics,Department of Computers and Informatics,Kosice,Slovakia

2. Technical university of Kosice,Faculty of Electrical Engineering and Informatics,Department of Electronics and Multimedia Communications,Kosice,Slovakia

3. Norwegian University of Scence and Technology,Faculty of Economics and Management,Department of Industrial Economics and Technology Management,Trondheim,Norway

4. Norwegian University of Science and Technology,Faculty of Information Technology and Electrical Engineering,Department of Information Security and Communication Technology,Gjøvik,Norway

Funder

Research and Development

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9912736/9912739/09913124.pdf?arnumber=9913124

Reference21 articles.

1. User Behavioral Biometrics Identification on Mobile Platform using Multimodal Fusion of Keystroke and Swipe Dynamics and Recurrent Neural Network

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

3. A Multimodal Biometric User Identification System Based on Keystroke Dynamics and Mouse Movements

4. Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

5. EEG-based speech activity detection;koctu´rova´;Acta Polytechnica Hungarica,2021