Multimodal Approach to Decoding Facial Expressions Using LBPH and Deep Learning Techniques

Human emotions are essential for communication, and identifying them is critical for fields like mental health monitoring and human-computer interaction. Emotions are primarily communicated through facial expressions. There are several ways to identify emotions. Using a multimodal and hybrid method, the suggested model combines statistical data and picture attributes with an image dataset. Following face recognition using LBPH, photos are classified using machine learning and deep learning techniques, and the final result is predicted using ensemble learning on an Indian image dataset. The model detects seven emotions with an overall accuracy of 85.29%.