Date of Award
Fall 2006
Project Type
Thesis
Program or Major
Electrical and Computer Engineering
Degree Name
Master of Science
First Advisor
John R Lacourse
Abstract
Due to the use of computers for long durations and prolonged typing on keyboards many computer users are suffering from Repetitive Strain Injuries. In this thesis keystroke dynamics, specifically the changes in the trigraph latencies of some words are analyzed to infer fatigue during typing. These dynamics are collected using a software application and are represented as bar-graphs for data analysis. The technology developed is completely seamless and does not require any hardware modifications. The investigation here is one aspect of the integrated effort to infer fatigue from typing dynamics.
The thesis is divided into three phases. In the first phase, a software application is developed to collect the keystroke dynamics under consideration. In the second phase the collected data is displayed as bar-charts for analysis purposes. In the final phase to validate the software, data from three volunteers, who typed on the keyboard for four hours is used to predict their onset fatigue.*.
Recommended Citation
Nagaraju, Bhagirathi, "Trigraph latency as a method to infer fatigue during typing" (2006). Master's Theses and Capstones. 258.
https://scholars.unh.edu/thesis/258