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Emotion and Mood Recognition
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the recognition and analysis of emotions from various modalities such as facial expressions, physiological signals, and speech. It explores the use of deep learning, affective computing, and multimodal data for emotion recognition in applications including human-computer interaction.
130
Works
IDs:OpenAlex
How has Emotion and Mood Recognition's publication output changed over time?
ScholarIQpublication output · 2012–2023
Output grew0% over the shown period — from 1 works in 2012 to 1 in 2023.
1
1
1
2
2
2
2
3
1
201220142016201720182020202120222023
What are the most-cited papers on Emotion and Mood Recognition?
ScholarIQmost cited works
A review of affective computing: From unimodal analysis to multimodal fusion
Soujanya Poria, Erik Cambria, Rajiv Bajpai, Amir Hussain
S7560371. 20171,580 CitationsOPEN ACCESS
StressSense
Hong Lu, Denise Frauendorfer, Mashfiqui Rabbi, Marianne Schmid Mast, Gokul Chittaranjan, Andrew T. Campbell, Daniel Gática-Pérez, Tanzeem Choudhury
2012517 CitationsOPEN ACCESS
A Comprehensive Review of Speech Emotion Recognition Systems
Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Mira Kartiwi, Eliathamby Ambikairajah
IEEE Access. 2021355 CitationsOPEN ACCESS
Stress and anxiety detection using facial cues from videos
Giorgos Giannakakis, Matthew Pediaditis, Dimitris Manousos, Eleni Kazantzaki, Franco Chiarugi, Panagiotis G. Simos, Kostas Marias, Manolis Tsiknakis
S8427965. 2016341 Citations
Island Loss for Learning Discriminative Features in Facial Expression Recognition
Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O’Reilly, Yan Tong
2018321 Citations
Where is Emotion and Mood Recognition research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Emotion and Mood Recognition is open access?
ScholarIQopen access share
67%OPEN ACCESS
Gold
20%
Green
33%
Hybrid
13%
Bronze
0%
Closed
33%
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Fusing audio, visual and textual clues for sentiment analysis from multimodal content
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The Berlin Affective Word List Reloaded (BAWL-R)
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