Identifying emotion by keystroke dynamics and text pattern analysis-Reference-Cited by-同舟云学术

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Identifying emotion by keystroke dynamics and text pattern analysis

Published:2014-07-03 Issue:9 Volume:33 Page:987-996
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Nahin A.F.M. Nazmul Haque,Alam Jawad Mohammad,Mahmud Hasan,Hasan Kamrul

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

http://www.tandfonline.com/doi/pdf/10.1080/0144929X.2014.907343

Reference19 articles.

1. Identifying Expressions of Emotion in Text

2. Identity verification through dynamic keystroke analysis

3. A computational architecture to model human emotions

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2. Recognizing User Emotion Based on Keystroke Dynamics;PRZEGLĄD ELEKTROTECHNICZNY;2024-06-11

3. Extracting the Affective Content of Fidgeting in Adults with ADHD via Machine Learning and a Hand-held Soft Tangible Device;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Digital Phenotypes for Early Detection of Internet Gaming Disorder in Adolescent Students: Explorative Data-Driven Study;JMIR Mental Health;2024-04-29

5. Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation;IEEE Access;2024

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