Human-Computer Interaction on Facial Recognition and Emotional Feedback

The advancement of science and technology has resulted in the growing prevalence of facial recognition technology in human-computer interaction, particularly in the domain of emotion recognition, where it shows significant potential. By identifying the user's facial expressions and emotional responses, the system is capable of conducting further analysis and prediction of the user's needs, thereby optimizing the emotion recognition experience of human-computer interaction. This article will elucidate the principles of facial recognition technology, with a particular focus on its practical applications and technical realization in emotion recognition. Furthermore, this article will examine the current limitations of the technology, discuss potential avenues for improvement, and speculate on the future development of facial recognition technology in the field of human-computer interaction. The technology is currently being used in a variety of areas, including smart home technology, medical rehabilitation and public services. The technology has the potential to improve the user experience by increasing the intelligence of devices and providing more personalised services to users through sentiment analysis.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-29
DOI
https://doi.org/10.54254/2755-2721/111/2024ch0114
Citations
1
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.51
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article

Human-Computer Interaction on Facial Recognition and Emotional Feedback

Ji Han
1 citations
Applied and Computational Engineering
Emotion and Mood Recognition
0.51
article

Human-Computer Interaction on Facial Recognition and Emotional Feedback

Ji Han
article en
1 citations

Abstract

The advancement of science and technology has resulted in the growing prevalence of facial recognition technology in human-computer interaction, particularly in the domain of emotion recognition, where it shows significant potential. By identifying the user's facial expressions and emotional responses, the system is capable of conducting further analysis and prediction of the user's needs, thereby optimizing the emotion recognition experience of human-computer interaction. This article will elucidate the principles of facial recognition technology, with a particular focus on its practical applications and technical realization in emotion recognition. Furthermore, this article will examine the current limitations of the technology, discuss potential avenues for improvement, and speculate on the future development of facial recognition technology in the field of human-computer interaction. The technology is currently being used in a variety of areas, including smart home technology, medical rehabilitation and public services. The technology has the potential to improve the user experience by increasing the intelligence of devices and providing more personalised services to users through sentiment analysis.

Applied and Computational EngineeringVol. 111(1)
North China University of Technology (CN)
Openalex Percentile: Top 28%
Emotion and Mood Recognition
0.51
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