A SYSTEMATIC REVIEW OF EMOTION RECOGNITION TECHNIQUES FOR ENHANCING HUMAN–ROBOT SYNERGY
Human–Robot Interaction, Emotion Recognition, Social Robotics, Affective Computing, Deep Learning, Multimodal Learning
Human–Robot Interaction (HRI) has experienced significant transformation in recent years as robots increasingly operate in human-centered environments such as healthcare facilities, homes, educational institutions, and industrial settings. Effective collaboration between humans and robots requires machines to interpret not only explicit commands but also implicit emotional cues. Emotion recognition technologies enable robots to perceive human psychological states and adapt their responses accordingly, thereby improving communication, cooperation, and trust.
This systematic review analyzes the evolution of emotion recognition techniques applied in human–robot interaction systems. The study examines existing research related to facial emotion recognition, speech emotion recognition, and multimodal emotion detection approaches using machine learning and deep learning models. Particular emphasis is placed on convolutional neural networks, recurrent neural networks, and hybrid CNN–LSTM architectures that enable robust multimodal emotion detection.
A structured literature analysis of recent research contributions is presented, highlighting datasets, algorithms, evaluation metrics, and application domains. The review identifies key research challenges including environmental variability, cultural diversity in emotional expression, computational complexity, and ethical considerations associated with emotion-aware robotics.
The findings indicate that multimodal emotion recognition significantly improves robustness and accuracy compared with single-modality approaches. Integrating emotion recognition with adaptive robotic behavior is essential for achieving socially intelligent robotic systems capable of operating effectively in real-world environments.
Registration ID: IJVRA_704691 Published ID: IJVRA26A4207
"A SYSTEMATIC REVIEW OF EMOTION RECOGNITION TECHNIQUES FOR ENHANCING HUMAN–ROBOT SYNERGY", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 4, page no.21-26, April-2026, Available :https://ijpub.org/ijvra/papers/IJVRA26A4207.pdf
Paper Reg. ID: IJVRA_704691
Published Paper Id: IJVRA26A4207
Research Area: Science All
Country: Palwal, Haryana, India
ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023
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Publisher: IJVRA (IJ Publication) Janvi Wave
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