Publication Type : Book Chapter
Campus : Coimbatore
School : School of Artificial Intelligence
Department : Center for Computational Engineering and Networking (CEN)
Abstract : Facial emotion recognition is an essential component of human-computer interaction, with applications in accessibility, driver monitoring, and affective computing. This paper proposes a dual-purpose AI system for Facial Emotion and Sleep Detection with Audio Feedback, designed to assist visually impaired individuals through real-time speech output while simultaneously serving as a driver drowsiness monitor. The system employs a convolutional neural network achieving 60.81 percent test accuracy on an eight-class dataset that includes a novel “Sleep” category for drowsiness detection.
Cite this Research Publication : Rakesh, Meesa, Jatin Chandra Gupta, Sai CH Virinchi, Majji Jayesh, and C. R. Lekshmi. "Facial emotion and sleep detection via audio feedback: An assistive AI system." In Artificial Intelligence, Computational Intelligence and Inclusive Technologies, pp. 830-834. CRC Press.
