About this document
Real-Time Emotion Recognition for Healthcare by rithikas.24mcse is a document available to read on EtoBox.
The document presents a real-time emotion recognition (ER) system integrated with a digital twin model aimed at enhancing personalized healthcare. It addresses technical challenges in emotion recognition, such as limited datasets and classification accuracy, by utilizing a custom dataset and the MediaPipe framework for feature extraction. The proposed system aims to improve patient monitoring and early diagnosis of life-threatening diseases, ultimately providing effective treatment during emergencies.
- Author
- rithikas.24mcse
- Language
- EN