ARCHIVES

Original Article

Design and Implementation of a Real-Time Non-Intrusive Machine Learning System for Cognitive Workload Detection Using Mouse and Keyboard Dynamics

R.Kumaran1 R.Inbathamizhan2 A.Sugavanan3 S.Darakeshmenan4
1 Assistant Professor, Department of Information Technology, P.S.V College of Engineering and Technology, Krishnagiri, Tamil Nadu, India. 2 3 4 UG Scholars, Department of Information Technology, P.S.V College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.

Published Online: January-April 2026

Pages: 524-530

Cite this article

No DOI

References

1. Strangman, G., Boas, D.A., & Sutton, J.P. (2002). Non-invasive neuroimaging using near-infrared light. Biological Psychiatry, 52(7), 679-
693.
2. Fairclough, S.H., & Venables, L. (2006). Prediction of subjective states from psychophysiology: A multivariate approach. Biological
Psychology, 71(1), 100-110.
3. Vizer, L.M., Zhou, L., & Sears, A. (2009). Automated stress detection using keystroke and linguistic features: An exploratory study.
International Journal of Human-Computer Studies, 67(10), 870-886.
4. Hernandez, J., Paredes, P., Rose way, A., & Czerwinski, M. (2014). Under pressure: Sensing stress of computer users. Proceedings of the
SIGCHI Conference on Human Factors in Computing Systems, ACM.
5. Hossain, M.Z., & Yeasin, M. (2014). Understanding posed and real smile by exploring facial dynamics. IEEE Transactions on Affective
Computing, 5(3), 226-238.
6. Dingler, T., & Pielot, M. (2015). I'll be there for you: Quantified workplace relationships. Proceedings of the 17th International Conference
on Human-Computer Interaction with Mobile Devices and Services, ACM.
7. Gjoreski, M., Lustrek, M., Gams, M., & Gjoreski, H. (2017). Monitoring stress with a wrist device using context. Journal of Biomedical
Informatics, 73, 159-170.
8. Hassib, M., Buschek, D., Wuchse, M., Henze, N., & Alt, F. (2017). HeadReach: Using head tracking to increase reachability on mobile
devices. Proceedings of CHI 2017, ACM.
9. Hart, S.G., & Staveland, L.E. (1988). Development of NASA-TLX: Results of empirical and theoretical research. Advances in Psychology,
52, 139-183.
10. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285.
11. Card, S.K., Moran, T.P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, Hillsdale,
NJ.
12. Wickens, C.D. (2008). Multiple resources and mental workload. Human Factors, 50(3), 449-455.
13. Bergstrom, J.R., Olmsted-Hawala, E.L., & Jans, M.E. (2013). Age-related differences in eye tracking and usability performance: Website
usability for older adults. International Journal of Human-Computer Interaction, 29(8), 541-548.
14. Iqbal, S.T., Adamczyk, P.D., Zheng, X.S., & Bailey, B.P. (2005). Towards an index of opportunity: Understanding changes in mental
workload during task execution. Proceedings of CHI 2005, ACM.
15. Bakker, J., Pechenizkiy, M., & Sidorova, N. (2011). What's your current stress level? Detection of stress patterns from GSR sensor data. In
2011 IEEE 11th International Conference on Data Mining Workshops, IEEE.

Related Articles

2026

Artificial Intelligence in Learning and Teaching

2026

Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application

2026

Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach

2026

Eco-Genius: Power Up Smart, Power Down Waste

2026

Crowd-Sourced Disaster Response and Rescue Assistant

2026

Unveiling Deepfake Detection Using Vision Transformers: A Survey and Experimental Study

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/design-and-implementation-of-a-real-time-non-intrusive-machine-learning-system-for-cognitive-workload-detection-using-mouse-and-keyboard-dynamics

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.