Abstract

The use of machines to perform different tasks is constantly increasing in society. Providing machines with perception can lead them to perform a great variety of tasks, even very complex ones such as elderly care. Machine requires that machines understand about their environment and interlocutor’s intention. Recognizing facial emotions might help in this regard. During the development of this work, deep learning techniques have been used over images displaying the following facial emotions : happiness, sadness, anger, surprise, disgust, and fear. As results, such method best resolves issues of lighting variations and different orientation of object in the image and thus achieves a higher accuracy.In the field of education online learning plays a vital role.. The fundamental problem facing in the online learning environment is the low engagement of Listener to the Preceptor. The educational institutions and Preceptors are responsible to guarantee best learning environment with maximum engagement in educational activities for online learners. Key Words: Environment, interlocutor, happiness, sadness, anger, surprise, listener, educational.

Full Text
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