AI-Powered Real-Time Emotion Detection for Virtual Reality (VR)

This paper explores the integration of artificial intelligence (AI) with virtual reality (VR) to enable real-time emotion detection and its transformative impact across industries. It examines key technologies, including facial expression recognition, physiological biosensors, voice and speech analysis, and multimodal emotion detection systems that allow VR environments to dynamically respond to user emotions. The study highlights how emotionally responsive VR enhances immersion in gaming, personalizes mental health therapies, improves educational experiences, and optimizes marketing strategies. While these advancements offer vast potential, the paper also addresses ethical challenges such as data privacy, algorithmic bias, emotional manipulation, and technological limitations. Ultimately, it advocates for emotionally intelligent VR systems that balance innovation with ethical

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-08-16
DOI
https://doi.org/10.36948/ijfmr.2025.v07i04.50154
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Real-Time Emotion Detection for Virtual Reality (VR)

Avinash Kumar Singh
International Journal For Multidisciplinary Research
Human Pose and Action Recognition
article

AI-Powered Real-Time Emotion Detection for Virtual Reality (VR)

Avinash Kumar Singh
article en

Abstract

This paper explores the integration of artificial intelligence (AI) with virtual reality (VR) to enable real-time emotion detection and its transformative impact across industries. It examines key technologies, including facial expression recognition, physiological biosensors, voice and speech analysis, and multimodal emotion detection systems that allow VR environments to dynamically respond to user emotions. The study highlights how emotionally responsive VR enhances immersion in gaming, personalizes mental health therapies, improves educational experiences, and optimizes marketing strategies. While these advancements offer vast potential, the paper also addresses ethical challenges such as data privacy, algorithmic bias, emotional manipulation, and technological limitations. Ultimately, it advocates for emotionally intelligent VR systems that balance innovation with ethical

International Journal For Multidisciplinary ResearchVol. 7(4)
Openalex Percentile: Top 79%
Human Pose and Action Recognition
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