NDLI: Automatic facial emotion recognition using weber local descriptor for e-Healthcare system

Content Provider	Springer Nature Link
Author	Alhussein, Musaed
Copyright Year	2016
Abstract	For an e-Healthcare system, detecting the emotion of a patient is vital for initial assessment of the patient. This paper proposes an emotion recognition system from face using for an e-Healthcare system. For features, Weber local descriptors (WLD) are utilized. In the proposed system, a static facial image is subdivided into many blocks. A multi-scale WLD is applied to each of the blocks to obtain a WLD histogram for the image. The significant bins of the histogram are found by using Fisher discrimination ratio. These bin values represent the descriptors of the face. The face descriptors are then input to a support vector machine based classifier to recognition the emotion. Two publicly available databases are used in the experiments. Experimental results demonstrate that the proposed WLD based system achieves a very high recognition rate, where the highest recognition accuracy reaches up to 99.28 % in case of Cohn–Kanade database.
Starting Page	99
Ending Page	108
Page Count	10
File Format	PDF
ISSN	13867857
Journal	Cluster Computing
Volume Number	19
Issue Number	1
e-ISSN	15737543
Language	English
Publisher	Springer US
Publisher Date	2016-01-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Emotion recognition Face recognition Weber local descriptor e-Healthcare system Fisher discrimination ratio Processor Architectures Operating Systems Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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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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