A NOVEL APPROACH OF FACE RECOGNITION USING DEEP LEARNING METHOD ON SMART HOME CONTROL SYSTEMS

ABSTRACT Smart home technology is evolving rapidly, with user-centric and adaptive systems gaining prominence. This paper proposes a novel smart home control system driven by Facial Expression Recognition (FER) using deep learning models. The system interprets user emotions in real-time and translates them into actionable commands for home automation. A convolutional neural network (CNN) trained on the FER2013 dataset achieved 92% accuracy in detecting key facial expressions such as happiness, sadness, anger, and surprise. These expressions are mapped to predefined control functions like adjusting lighting, temperature, or media playback. This research demonstrates the potential of emotion-aware smart homes that enhance user comfort, accessibility, and personalization. Keywords: Facial Expression Recognition, Smart Home, Deep Learning, Human-Computer Interaction, Emotion Recognition, Automation