ARTIFICIAL INTELLIGENCE OF PERFORMANCE FOR SOCIAL SENTIMENT RECOGNITION IN CLOSED ATMOSPHERES

Povzetek

Smart home technologies have significantly improved convenience and energy management in households. However, most existing systems rely on manual input or environmental sensing, neglecting the occupants’ emotional state. The emotional context plays a vital role in human comfort and decision-making. This study presents an artificial intelligence (AI) model for performance evaluation of social sentiment recognition in closed atmospheres that automatically adapts home environments by recognizing human emotions through facial expression analysis. The proposed system employs computer vision techniques to detect faces and classify emotions in real time, enabling the intelligent control of home appliances, such as lighting, fans, and multimedia devices. A camera captures facial images, which are processed using machine learning-based emotion classification models to identify emotional states, such as happiness, sadness, anger, and neutrality. Based on the detected emotion, predefined control rules are applied to adjust the home environment. The experimental results demonstrate that the proposed system achieves high emotion recognition accuracy with low latency, making it suitable for real-time applications. The system enhances user comfort, reduces the need for manual intervention, and provides a more personalized smart home experience. The proposed architecture is cost-effective, scalable, and can be extended to support multiple users and additional emotions. This study contributes to the development of emotionally intelligent smart environments.