19-05-2015, 02:18 PM
code for emotion based music player
Abstract
The work presents described the development of Emotion Based Music Player, which is a computer application meant for all type of users, specifically the music lovers. Due to the troublesome workloads in songs selection, most people will choose to randomly play the songs in the playlist. As a result, some of the songs selected not matching the users’ current emotion. Moreover, there is no commonly used music player which able to play the songs based on user’s emotion. The proposed model is able to extract user’s facial expression and thus detect user’s emotion. The music player in the proposed model will then play the songs according to the category of emotion detected. It is aimed to provide a better enjoyment to music lovers in music listening. The scope of emotions in the proposed model involve normal, sad, surprise and happy. The system involves the major of image processing and facial detection technologies. The input for this proposed model is the .jpeg format still images which available online. The performance of this model is evaluated by loading forty still images (ten for each emotion category) into the proposed model to test on the accuracy in detecting the emotions. Based on the testing
result, the proposed model has the Recognition Rate of 85%.
Facial expression provides current mind state of person. The most natural way to express emotions is using facial expressions.Human often use nonverbal cues such as hand gestures, facial expressions, and tone of the voice to express feelings in interpersonal communications.
It is very time consuming and difficult to create and manage large playlists and to select songs from these playlists. Thus, it would be very helpful if the music player itself selects a song according to the current mood of the user. Thus, an application can be developed to minimize these efforts of managing playlists. In this paper, we will study about how to automatically detect the mood of the user and present him a playlist of songs which is suitable for his current mood. The image is captured using webcam and that image is passed under different stages to detect the mood or emotion of the user. The application is thus developed in such a way that it can manage content accessed by user, analyze the image properties and determine the mood of the user. The application also includes the facility of sorting songs based on mp3 file properties so that they can be added into appropriate playlists according to the mood.
Abstract
The work presents described the development of Emotion Based Music Player, which is a computer application meant for all type of users, specifically the music lovers. Due to the troublesome workloads in songs selection, most people will choose to randomly play the songs in the playlist. As a result, some of the songs selected not matching the users’ current emotion. Moreover, there is no commonly used music player which able to play the songs based on user’s emotion. The proposed model is able to extract user’s facial expression and thus detect user’s emotion. The music player in the proposed model will then play the songs according to the category of emotion detected. It is aimed to provide a better enjoyment to music lovers in music listening. The scope of emotions in the proposed model involve normal, sad, surprise and happy. The system involves the major of image processing and facial detection technologies. The input for this proposed model is the .jpeg format still images which available online. The performance of this model is evaluated by loading forty still images (ten for each emotion category) into the proposed model to test on the accuracy in detecting the emotions. Based on the testing
result, the proposed model has the Recognition Rate of 85%.
Facial expression provides current mind state of person. The most natural way to express emotions is using facial expressions.Human often use nonverbal cues such as hand gestures, facial expressions, and tone of the voice to express feelings in interpersonal communications.
It is very time consuming and difficult to create and manage large playlists and to select songs from these playlists. Thus, it would be very helpful if the music player itself selects a song according to the current mood of the user. Thus, an application can be developed to minimize these efforts of managing playlists. In this paper, we will study about how to automatically detect the mood of the user and present him a playlist of songs which is suitable for his current mood. The image is captured using webcam and that image is passed under different stages to detect the mood or emotion of the user. The application is thus developed in such a way that it can manage content accessed by user, analyze the image properties and determine the mood of the user. The application also includes the facility of sorting songs based on mp3 file properties so that they can be added into appropriate playlists according to the mood.
