NDLI: Mental Workload Classification via Online Writing Features

Content Provider	IEEE Xplore Digital Library
Author	Kun Yu Epps, J. Fang Chen
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. Eng. & Telecommun., UNSW, Sydney, NSW, Australia (Kun Yu; Epps, J.) \|\| ATP Lab., Nat. ICT, Sydney, NSW, Australia (Fang Chen)
Abstract	Mental workload is an important factor during writing, which may affect the writing efficiency and user experience. This paper aims at a method to classify the mental workload levels during writing process, via examination of online writing features in a two-stage algorithm structure. At the first stage, a curvature tracking method is applied to the handwriting script, to examine the curvature for individual writing points. Then a selection process allocates writing points into subsets, each corresponding to one curvature span. The second stage extracts velocity features, used to characterize mental workload, from points in each curvature span. A Parzen-window classifier is applied on velocity features from each curvature span. The classification decisions from individual classifiers are fused with a selective voting scheme for the overall mental workload classification decision. This paper finally discusses the classification accuracy for three mental workload levels and compares it with previous work.
Starting Page	1110
Ending Page	1114
File Size	274127
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Writing Feature extraction Accuracy Handwriting recognition Atmospheric measurements Particle measurements Kernel Curvature Mental workload Online feature examination Load level measurement
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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