IIUM Repository

A summarization of the visual depression databases for depression detection

Ashraf, Arselan and Gunawan, Teddy Surya and Abdul Rahman, Farah Diyana and Kartiwi, Mira and Ismail, Nanang and Ulfiah, Ulfiah (2020) A summarization of the visual depression databases for depression detection. In: 6th International Conference on Wireless and Telematics (ICWT) 2020, 3rd-4th September 2020, Yogyakarta, Indonesia.

[img] PDF - Published Version
Restricted to Registered users only

Download (355kB) | Request a copy
[img] PDF (SCOPUS) - Supplemental Material
Restricted to Registered users only

Download (230kB) | Request a copy

Abstract

Depression is a serious, pervasive mental issue in our general public. A large portion of the populace experiences this issue. Thus there is an outrageous requirement for the depression detection models, which will offer a helpful framework and early identification of depression. There is an essential need for relevant data to set up a depression detection model. This paper presents a brief summarization regarding ten depression datasets available, which will guide the researchers to select an appropriate dataset for their depression detection models. This summarization has been done over the non-verbal signs of depression, data collection techniques, clinical definition, and annotations. Moreover, a tabular list of datasets is provided for quick and easy look through.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 5588/84770
Uncontrolled Keywords: depression; depression detection; summarization; depression datasets.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology

Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Teddy Surya Gunawan
Date Deposited: 23 Nov 2020 04:47
Last Modified: 17 Jan 2021 13:17
URI: http://irep.iium.edu.my/id/eprint/84770

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year