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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66504

Facial and Emotional Identification: Understanding How We Read Faces and Feelings

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66504

Volume:

10 |

8 |

Aug 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Neha M P

Neha M P

Computer Science

JSS College for Women

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Abstract

Facial and emotional identification plays a crucial role in everyday human interaction. Humans rely heavily on facial cues to interpret emotions such as happiness, sadness, anger, and fear. This paper explores how individuals naturally recognize faces and interpret emotional expressions, as well as how technological systems attempt to replicate these abilities. It also highlights real-world applications, challenges, and ethical considerations associated with facial and emotional recognition technologies. Understanding both the human and technological aspects of this topic is important for developing systems that are accurate, fair, and socially responsible.

KEYWORDS

• Shape of the face • Eye structure • Nose size and shape • Lip formation • Skin texture

Cite This Article

Neha M P, "Facial and Emotional Identification: Understanding How We Read Faces and Feelings," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-4, Aug 2026.

Full Article/Conclusion

Facial and emotional identification is a fundamental part of human interaction. While humans naturally perform these tasks with high accuracy, technology is still developing the ability to replicate them effectively. Although facial and emotional recognition systems offer many benefits in areas such as security, healthcare, and education, they also present challenges related to accuracy, fairness, and ethics. A balanced approach is needed to maximize the advantages while minimizing risks.

References

Future research in this field can focus on: ·                  Improving the accuracy of emotion detection systems ·                  Reducing bias in artificial intelligence models ·                  Developing culturally sensitive recognition systems ·                  Integrating facial analysis with voice and gesture recognition ·                  Establishing strong ethical guidelines and policies

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Publication Date

8/4/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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10

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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