NDLI: Inferring Depression and Affect from Application Dependent Meta Knowledge

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Content Provider	ACM Digital Library
Author	Schels, Martin Kächele, Markus Schwenker, Friedhelm
Abstract	This paper outlines our contribution to the 2014 edition of the AVEC competition. It comprises classification results and considerations for both the continuous affect recognition sub-challenge and also the depression recognition sub-challenge. Rather than relying on statistical features that are normally extracted from the raw audio-visual data we propose an approach based on abstract meta information about individual subjects and also prototypical task and label dependent templates to infer the respective emotional states. The results of the approach that were submitted to both parts of the challenge significantly outperformed the baseline approaches. Further, we elaborate on several issues about the labeling of affective corpora and the choice of appropriate performance measures.
Starting Page	41
Ending Page	48
Page Count	8
File Format	PDF
ISBN	9781450331197
DOI	10.1145/2661806.2661813
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Avec 2014 Depression recognition Affect recognition Meta knowledge
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Inferring Depression and Affect from Application Dependent Meta Knowledge