NDLI: Design & analysis of k-means algorithm for cognitive fatigue detection in vehicular driver using oximetry pulse signal

Content Provider	IEEE Xplore Digital Library
Author	Sharma, M.K. Bundele, M.M.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Poornima Coll. of Eng., Jaipur, India (Sharma, M.K.; Bundele, M.M.)
Abstract	Most of the fatal injuries and the loss of lives occur due to lack of timely and quick action to be taken by the vehicular drivers. The difficulty in determining the incidence of fatigue-related accidents is due to the difficulty in identifying fatigue as a causal or causative factor in accidents. In most instances, one or more indirect or circumstantial pieces of evidence are used to make the case that fatigue was a factor in the accidents. In this paper we propose an unconventional approach for fatigue detection in vehicular drivers using Oximetry Pulse (OP) signal to detect cognitive fatigue of the driver thereby reducing the loss of the lives and vehicular accidents. This method includes implementation of basic K-means and modified K-means for detection of fatigue state of drivers. Oximetry Pulse signal has been recorded from vehicular drivers for Pre and Post driving states and were processed using various wavelet functions to extract typical set of features. The K-means classifiers were trained and tested for these datasets. Each of the features extracted was treated as single decision making parameter. From the test results it could be found that some of the wavelet features could fetch 100 % classification accuracy with modified K-means while few others with basic K-means classifier.
Starting Page	1
Ending Page	6
File Size	415775
Page Count	6
File Format	PDF
e-ISBN	9781479981649
DOI	10.1109/IC4.2015.7375629
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Training Wavelet Features Cognitive Fatigue Vehicular Driver Feature extraction Fatigue Classification algorithms K-Means Classifier Arrays Oximetry Pulse Signal Vehicles
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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