scholarly journals Facial Expression Reactions to Feedback in a Human-Computer Interaction—Does Gender Matter?

Psychology ◽  
2016 ◽  
Vol 07 (03) ◽  
pp. 356-367 ◽  
Author(s):  
Stefanie Rukavina ◽  
Sascha Gruss ◽  
Holger Hoffmann ◽  
Harald C. Traue
Keyword(s):  
Facial Expression ◽  
Human Computer Interaction ◽  
Computer Interaction ◽  
Reactions To Feedback

scholarly journals “Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset

2021 ◽  
Author(s):  
Michael J Lyons
Keyword(s):  
Machine Learning ◽  
Facial Expression ◽  
Human Computer Interaction ◽  
Present Article ◽  
Face Perception ◽  
Affective Computing ◽  
The Creation ◽  
Computer Interaction ◽  
Training Sets

Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay “Excavating AI: The Politics of Images in Machine Learning Training Sets.” The present article recounts the creation of the JAFFE dataset and unravels each of Crawford and Paglen’s fallacious statements. I also discuss JAFFE more broadly in connection with research on facial expression, affective computing, and human-computer interaction.

scholarly journals Feature extraction and classification methods of facial expression: a survey

2021 ◽  
Vol 2 (1) ◽  
pp. 26-32
Author(s):  
Moe Moe Htay
Keyword(s):  
Feature Extraction ◽  
Facial Expression ◽  
Human Computer Interaction ◽  
Affective Computing ◽  
Recognition System ◽  
Expression Recognition ◽  
Care Assessment ◽  
Main Components ◽  
Fatigue Detection ◽  
Computer Interaction

Facial Expression is a significant role in affective computing and one of the non-verbal communication for human computer interaction. Automatic recognition of human affects has become more challenging and interesting problem in recent years. Facial Expression is the significant features to recognize the human emotion in human daily life. Facial Expression Recognition System (FERS) can be developed for the application of human affect analysis, health care assessment, distance learning, driver fatigue detection and human computer interaction. Basically, there are three main components to recognize the human facial expression. They are face or face’s components detection, feature extraction of face image, classification of expression. The study proposed the methods of feature extraction and classification for FER.

Automatic Facial Expression Analysis

2006 ◽  
pp. 60-67 ◽  
Author(s):  
Huachun Tan ◽  
Yujin Zhang
Keyword(s):  
Facial Expression ◽  
Human Computer Interaction ◽  
Expression Analysis ◽  
Active Area ◽  
Facial Expression Analysis ◽  
Computer Interaction

Facial expression analysis is an active area in human-computer interaction. Many techniques of facial expression analysis have been proposed that try to make the interaction tighter and more efficient.

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