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AUTHOR(S): Rula Sharqi, Lourde Hajjar
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TITLE Facial Emotion Detection: Advancing Emotional and Social Skills in Autistic Children Using NAO Robot |
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ABSTRACT Autism Spectrum Disorder (ASD) presents significant challenges in emotional recognition and social interactions, making it difficult for affected individuals to identify and respond to emotions. This paper focuses on the role of robotics, specifically the NAO robot, in facilitating facial emotion detection to address these challenges. The NAO robot, integrated with advanced facial recognition software, is capable of detecting a wide range of human emotions and providing real-time feedback. This paper examines how robotics equipped with emotion recognition technology can be utilized to enhance the understanding of emotional signs. Through interactions with NAO, users can practice identifying emotions, thus improving emotional awareness and response. The study emphasizes the potential of humanoid robots in applying facial emotion detection technology for broader applications in therapeutic and educational settings. The findings suggest that integrating facial emotion detection into robotic systems, like NAO, offers significant promise in advancing emotional understanding and interaction. |
KEYWORDS Facial Emotion Detection, NAO Robot, Behavioral Robotics, Human-Robot Interaction |
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Cite this paper Rula Sharqi, Lourde Hajjar. (2025) Facial Emotion Detection: Advancing Emotional and Social Skills in Autistic Children Using NAO Robot. International Journal of Signal Processing, 10, 34-38 |
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