OBJECTIVE: The aim of this study was to assess the contribution of using keystroke dynamics (KD) in combination with integrated electromyography (iEMG) for the objective evaluation of local muscular load of hands and forearms while typing on a computer keyboard and to compare it with results of the commonly used method. METHOD: Study was performed on 12 subjects. Data were collected using our own application for capturing KD data and using EMG Holter for detecting electromyographic potentials to determine local muscular load. RESULTS: The results of our study revealed that currently used methods for assessment of the workload while typing on a computer keyboard are not entirely accurate. In particular, the real total number of keystrokes performed during processing of a text is significantly higher than the count of characters the text is consisting of. In addition to this count, also the so-called invisible keys, keyboard shortcuts, and especially corrections in the typed text must be taken into consideration. CONCLUSIONS: The results indicated that all probands in our study exceeded the valid hygienic limits for the total amount of the small repetitive movements of the hands and forearms and the total amount of the keyboard typing movements. Most of the probands in our study also exceeded the valid hygienic limit for the highest average time-weighted value of the percent maximum voluntary contraction (%MVC). This implies that the keystroke dynamics method has a great potential to increase the accuracy of evaluation of local muscular load when using the keyboard and thus to improve the existing methodology for investigation of occupational diseases resulting from overload while working on the computer.
- MeSH
- Adult MeSH
- Electromyography methods MeSH
- Ergonomics methods MeSH
- Muscle, Skeletal physiology MeSH
- Humans MeSH
- Computers MeSH
- Forearm physiology MeSH
- Reproducibility of Results MeSH
- Hand physiology MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- MeSH
- Big Data MeSH
- Biometric Identification * methods MeSH
- Hospital Information Systems MeSH
- Pilot Projects MeSH
- Information Storage and Retrieval methods MeSH
- Medical Informatics Applications MeSH
- Computer Security * MeSH
- Health Information Systems MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
Cíle: Cílem této práce je navrhnout vylepšenou metodu autentizace pro biomedicínu založenou na analýze behaviorálních biometrických metod používaných v soucasnosti. Metody: Práce poskytuje strucnou definici identifikace, autentizace a biometrických charakteristik. Hlavní cást práce se zabývá dynamikou stisku pocítacových kláves, jejími výhodami, nevýhodami a aplikacemi v biomedicíne. Dynamika stisku pocítacových kláves je následne navržena jako zajímavá behaviorální charakteristika pro použití v pocítacové bezpecnosti, která doposud není široce používaná. Výsledky: Výsledkem práce bude nový soubor metod, který umožní optimální multifaktorovou autentizaci z hlediska pohodlí, nákladu a spolehlivosti. Záver: Cílem tohoto príspevku je soustredit se na dostupné informace o dynamice stisku pocítacových kláves.
Objectives: The goal of this work is to suggest an improved authentication method for biomedicine based on analysis of currently used behavioural biometric methods. Methods: A brief definition of identification, authentication and biometric characteristics is provided. The main part of the work focuses on keystroke dynamics, its advantages, disadvantages and applications in biomedicine. Keystroke dynamics is then proposed as an interesting behavioural biometric characteristic for use in computer security not being widely used so far. Results: The result of the work will be a new set of methods, which allows optimal multi-factor authentication method regarding its comfort, cost and reliability. Conclusions: The purpose of this paper is to focus on the available information about keystroke dynamics.
