Weariness and Vigilance Data Mining Using Mobile Platform Assessment

M. Penhaker, Radka Geyerova, J. Kubícek, M. Augustynek, Katerina Panackova, V. Novák
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引用次数: 3

Abstract

This work deals with the user interface assessment of weariness and vigilance diagnosis. The goal of this work was to Establish the algorithm for assessment and statistical evaluation of mental performance effected, would vigilance. Individual tests are performed in graphic form and focus on memory and reaction time. Test results are stored in a structured database. The system compares the results in five age categories. It is one of the few instruments that are capable of analyzing objectively lack of sleep or sleep disorders occurrence. The application is designed for all ages, although older generation may be a problem with computer operation. The Measured medical information are statistically processed and compared with normal values selected group of people. The program was completed and tested on 92 people in collaboration with University Hospital Ostrava and were created classification groups.
基于移动平台评估的疲劳与警惕性数据挖掘
本文主要研究用户界面的疲劳评估和警觉性诊断。本工作的目的是建立一种算法,用于评估和统计评估心理表现的影响,从而提高警惕性。个人测试以图形形式进行,重点是记忆和反应时间。测试结果存储在结构化数据库中。该系统对五个年龄段的结果进行比较。它是为数不多的能够客观分析睡眠不足或睡眠障碍发生的仪器之一。该应用程序是为所有年龄的人设计的,尽管老年人可能对电脑操作有问题。对测量的医学信息进行统计处理,并与正常值进行比较。该项目与俄斯特拉发大学医院合作,在92人身上完成并进行了测试,并创建了分类组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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