Published on in Vol 7, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41003, first published .
Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world Biomarker

Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world Biomarker

Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world Biomarker

Journals

  1. Altwaijry N. Authentication by Keystroke Dynamics: The Influence of Typing Language. Applied Sciences 2023;13(20):11478 View
  2. Liu W, Yeh C, Chen P, Lin C, Liu A. Keystroke Biometrics as a Tool for the Early Diagnosis and Clinical Assessment of Parkinson’s Disease. Diagnostics 2023;13(19):3061 View
  3. Karim E, Pavel H, Nikanfar S, Hebri A, Roy A, Nambiappan H, Jaiswal A, Wylie G, Makedon F. Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey. Technologies 2024;12(3):38 View
  4. Ruiz-Garcia J, Tolosana R, Vera-Rodriguez R, Fierrez J, Herreros-Rodriguez J. ChildCI framework: Analysis of motor and cognitive development in children-computer interaction for age detection. Cognitive Systems Research 2024;86:101230 View
  5. Brinkmann G, Duque-Lopez A, Cui J, Faust L, Alden E, Worrell G, Brinkmann B. Assessing the feasibility of digital keypress statistics to detect seizures and capture cognitive impairment in patients with epilepsy: A pilot study. Epilepsy & Behavior 2024;157:109820 View
  6. Acien A, Morales A, Giancardo L, Vera-Rodriguez R, Holmes A, Fierrez J, Arroyo-Gallego T. KeyGAN: Synthetic keystroke data generation in the context of digital phenotyping. Computers in Biology and Medicine 2025;184:109460 View

Books/Policy Documents

  1. Macias-Fassio E, Morales A, Pruenza C, Fierrez J. Pattern Recognition. View