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About

Sheng-Cheng Yeh is a leading researcher at the intersection of artificial intelligence and human-computer interaction, with a primary focus on emotion recognition, deep learning, and intelligent companion systems. His most influential work, "Study on emotion recognition and companion Chatbot using deep neural network" (2020, 65 citations), pioneered the integration of deep neural networks with conversational AI to create emotionally aware chatbots, demonstrating how machines can interpret and respond to human affective states. Yeh further advanced this field through his research on Chinese speech emotion recognition (2022, 10 citations), where he developed specialized acoustic feature extraction methods for Mandarin speech, addressing critical challenges in cross-linguistic emotion detection. His innovative approach extends to multimodal recognition systems, as shown in his work on cost-effective real-time human emotion-age-gender recognition (2021, 6 citations), which introduced normalized facial cropping preprocessing to improve deep learning efficiency. Yeh’s contributions are particularly notable for their industrial applicability, bridging the gap between theoretical deep learning models and practical deployment in companion technologies. His research continues to shape the development of emotionally intelligent AI systems that can better understand and interact with human users.