A magic mirror paradigm is an augmented reality (AR) system in which a camera and display device act as a mirror, allowing users to see a reflection of themselves as well as virtual objects. A camera is included in the proposed system to capture the viewer’s facial expression. The system can determine the viewer’s emotion by analyzing their expressions. If the viewer is experiencing negative emotions, the system will speak positive sentences and play the viewer’s favorite music to help him or her feel better. The proposed system can be used as a calendar to remind you of upcoming events. This project makes use of hardware such as a USB Web Cam (8 MP or higher) and a computer system. The goal of this project is to recognize a person’s mood and support them as a digital friend. This project provides a dependable friend who will motivate you and keep you happy at all times. Individual emotions toward a person are revealed by social signals such as facial expressions, vocal intonations and outbursts, body gestures and postures, and so on. However, in order to simplify the problem, we limit the scope of the research to facial expressions (sad, angry, happy, and surprised). Optical flow, hidden Markov model, neural network processing, and active appearance model are some of the methods used to achieve facial expression. The Face Reader, for example, recognizes facial expressions by distinguishing six basic emotions (happy, angry, sad, surprised, scared, disgusted), as well as neutral. Optical flow, hidden Markov model, neural network processing, and active appearance model are used to inspire positive words, alleviate negative emotions, and remind people about their obligations.
Author (s) Details
Mrs. Ruchira Kurve Dabhade
Department of Computer Science & Engineering, G. H. R. C. E., Nagpur, India.
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