BioVision: A Secure and Accurate AI Framework for Visual Facial Expression Analysis

Facial Emotion Recognition (FER) is a pivotal component of Affective Computing, enabling machines to interpret human psychological states. Traditional FER systems often operate in isolation, lacking real-time interactive feedback or user engagement mechanisms. In this paper, we propose

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-15
DOI
https://doi.org/10.64388/irev9i10-1716225
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

BioVision: A Secure and Accurate AI Framework for Visual Facial Expression Analysis

Keshav Kumar, Tajendra Riya, Avnish Kumar, Prof. (Dr.) Sanjay Pachauri
Iconic Research and Engineering Journals
Emotion and Mood Recognition
article

BioVision: A Secure and Accurate AI Framework for Visual Facial Expression Analysis

Keshav Kumar, Tajendra Riya, Avnish Kumar, Prof. (Dr.) Sanjay Pachauri
article en

Abstract

Facial Emotion Recognition (FER) is a pivotal component of Affective Computing, enabling machines to interpret human psychological states. Traditional FER systems often operate in isolation, lacking real-time interactive feedback or user engagement mechanisms. In this paper, we propose

Iconic Research and Engineering JournalsVol. 9(10)
Reduced inequalities
Openalex Percentile: Top 6%
Emotion and Mood Recognition
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BioVision: A Secure and Accurate AI Framework for Visual Facial Expression Analysis — Keshav Kumar, Tajendra Riya, et al. · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS