International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Advanced AI-Driven Emotion Recognition Systems: Applications and Technical Challenges

Author(s) Avtar Singh
Country United States
Abstract Focusing on face and landmark analysis, the technical analysis investigates AI-based emotion
identification systems' design, application, and difficulties. This thorough article explores the use of these
systems in the manufacturing, scientific research, and healthcare industries, emphasizing both creative
solutions and technological challenges. The article explores fundamental elements such as real-time
emotion analysis frameworks, facial landmark identification systems, convolutional neural networks, and
deep learning techniques. It shows how these systems are transforming human-computer interaction while
addressing important issues in data protection and ethical implementation through a thorough examination
of technical aspects, domain-specific applications, difficulties, and privacy considerations. To shed light
on how emotion recognition technology is developing, the study also looks at potential future
development paths, such as improvements in scalability, cross-platform integration, and sensor fusion
technologies.
Keywords Emotion Recognition Technology, Artificial Intelligence (AI) and Deep Learning, Facial Landmark Detection, Privacy-Preserving Computing, Multi-Modal Sensor Integration
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-30
Cite This Advanced AI-Driven Emotion Recognition Systems: Applications and Technical Challenges - Avtar Singh - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31965
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.31965
Short DOI https://doi.org/g8sg5k
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