Emotional recognition ability to accurately identify the emotions in various sources and domain, including physical and physiological signals. Due to its research, this application is effective in World health organization including in studying the impact of expression and mental illness signals on galvanic skin responses. Also, this study explores the use of various models to stimulate emotions and analyses the principle of current automated recognition system. Following through this analysis and discussion we have selected the 45-journal article based on PRISMA database access on online dataset. On emotion recognition, in a particular research domain there has been worked only 1100 facial images in international dataset and limited work on national level dataset for face recognition. Additionally, these are the main challenges have identified in existing literature that need to be addressed in further research.