Human Facial expressions are the most expressive way to display their non verbal emotions. Human can easily detect and interpret faces to understand the emotions of the person in front of them. An important aspect of facial expression recognition is its implementation in the virtual domain. Different apps for auto-face recognition can be an important factor for the growth of components of natural human-machine interfaces. Many attempts are made from few years for the development of automated systems for which will detect human face expressions and in turn their moods. This paper gives a survey over the expertise used for human moods detection and recognition of facial expression recently.

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Eye movement tracking is a method that is now-a-days used for checking the usability problems in the contexts of Human Computer Interaction (HCI). Firstly we present eye tracking technology and key elements. We tend to evaluate the behavior of the user when they are using the interface of eye gaze. Used different techniques i.e. "electro-oculography, infrared oculography, video oculography, image process techniques, scrolling techniques", different models, probable approaches i.e. "shape based approach, appearance based methods, 2D and 3D models based approach and different software algorithms for pupil detection etc". We have tried to compare the surveys based on their geometric properties and reportable accuracies and eventually we conclude this study by giving some prediction regarding future eye-gaze. We point out some techniques by using various eyes properties comprising nature, appearance and gesture or some combination for eye tracking and detection. Result displays eye-gaze technique is faster and better approach for selection than a mouse selection. Rate of error for all the matters determines that there have been no errors once choosing from main menus with eye mark and with mouse. But there have been a chance of errors when once choosing from sub menus in case of eye mark. So, maintain head constantly in front of eye gaze monitor.