Research on Facial Expression Diagnosis Based on Deep Learning

Deep learning and the growing maturity of neural network algorithms have revolutionized the field of artificial intelligence, the technology of expression recognition has made remarkable progress, it has become one of the hot research directions in the field of AI. Accurate and reliable early diagnosis plays a vital role in slowing down the progression of some diseases and improving the health status of patients. As one of the early symptoms of some diseases, facial expression disorder makes patients have obvious difference from normal people in facial expression. In clinical diagnosis, the evaluation of facial expression disorder is subjective, which often results in the error of diagnosis, the diagnosis method based on facial expression data is expected to provide accurate and objective diagnosis results.