Emotion recognition framework using multiple modalities for an effective human–computer interaction-Reference-Cited by-同舟云学术

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Emotion recognition framework using multiple modalities for an effective human–computer interaction

Published:2023-01-12 Issue:8 Volume:79 Page:9320-9349
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Moin Anam,Aadil Farhan,Ali Zeeshan,Kang Dongwann

Funder

Institute of Information & communications Technology Planning & Evaluation

Korea Institute of Marine Science and Technology promotion

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-05026-w.pdf

Reference53 articles.

1. Erol BA, Majumdar A, Benavidez P, Rad P, Choo K-KR, Jamshidi M (2019) Toward artificial emotional intelligence for cooperative social human–machine interaction. IEEE Trans Comput Soc Syst 7:234–246

2. Picard RW, Klein J (2002) Computers that recognise and respond to user emotion: theoretical and practical implications. Interact Comput 14:141–169

3. Picard RW, Vyzas E, Healey J (2001) Toward machine emotional intelligence: analysis of affective physiological state. IEEE Trans Pattern Anal Mach Intell 23:1175–1191

4. Siddharth S, Jung T-P, Sejnowski TJ (2019) Utilizing deep learning towards multi-modal bio-sensing and vision-based affective computing. IEEE Trans Affect Comput 13(1):96–107

5. Kalsum T, Anwar SM, Majid M, Khan B, Ali SM (2018) Emotion recognition from facial expressions using hybrid feature descriptors. IET Image Proc 12:1004–1012

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