to download project abstract of cnn project

We provide cnn project in this paper. The face is an important aspect in predicting human emotions and mood. Usually the
human emotions are extracted with the use of camera. There are many applications
getting developed based on detection of human emotions. Few applications of
emotion detection are business notification recommendation, e-learning, mental
disorder and depression detection, criminal behavior’s detection etc. In this
proposed system, we develop a prototype in recommendation of dynamic music
recommendation system based on human emotions. Based on each human
listening pattern, the songs for each emotions are trained. Integration of feature
extraction and machine learning techniques, from the real face the emotion are
detected and once the mood is derived from the input image, respective songs for
the specific mood would be played to hold the users. In this approach, the
application gets connected with human feelings thus giving a personal touch to the
users. Therefore our projected system concentrate on identifying the human
feelings for developing emotion based music player using computer vision and
machine learning techniques. For experimental results, we use open CV for
emotion detection and music recommendation.

People tend to express their emotions, mainly by their facial expressions. Music
has always been known to alter the mood of an individual. Capturing and
recognizing the emotion being voiced by a person and displaying appropriate
songs matching the one’s mood and can increasingly calm the mind of a user and
overall end up giving a pleasing effect. The project aims to capture the emotion
expressed by a person through facial expressions. A music player is designed to
capture human emotion through the web camera interface available on computing
systems. The software captures the image of the user and then with the help of
image segmentation and image processing techniques extracts features from the
face of a target human being and tries to detect the emotion that the person is
trying to express. The project aims to lighten the mood of the user, by playing
songs that match the requirements of the user by capturing the image of the user.
Since ancient times the best form of expression analysis known to humankind is
facial expression recognition. The best possible way in which people tend to
analyze or conclude the emotion or the feeling or the thoughts that another person
is trying to express is by facial expression. In some cases, mood alteration may
also help in overcoming situations like depression and sadness. With the aid of
expression analysis, many health risks can be avoided, and also there can be steps
taken that help brings the mood of a user to a better stage.

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