Real Time Intelligent Emotional Music Player using Android
Author(s):
Kavitha N , Saranathan College of Engineering. Trichy; Maruthi Raja S K, Saranathan College of Engineering. Trichy; Kumaran V, Saranathan College of Engineering. Trichy; Keerthi Vasan A, Saranathan College of Engineering. TrichyKeywords:
Bezier Curves, Face Detection, Facial Expression Recognition, Music Player, Peer to PeerAbstract:
Expressing and recognizing emotional behavior of human play an important role in communication systems. Facial expression analysis is the most expressive way to display human emotion. Three types of facial emotion are recognized and classified: happy, sad, anger. Depending on the emotion, the music player will play the song accordingly which eliminates the time-consuming and tedious task of manually segregating or grouping songs into different lists and help in generating an appropriate playlist based on individual’s emotional features. This paper implements an efficient extraction of facial points using Beizer Curves which is more suitable for use in mobile devices. To enhance the audibility level of audio and memory shortage group play concept is also introduced. More than one android mobiles communicate with each other through Peer to Peer connection using Wi-Fi direct. Along with music player editing features like audio trimming and precise voice recording. Later the customized audio file can be set as alarm, ringtone, notification tones. Since all the emotional recognition is done for the real time images, it outperforms well than the any other existing face recognition algorithms or music play applications.
Other Details:
| Manuscript Id | : | J4RV3I1033 |
| Published in | : | Volume : 3, Issue : 1 |
| Publication Date | : | 01/04/2017 |
| Page(s) | : | 61-65 |
