International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 3 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Mood based Music Player Karan Mistry1, Prince Pathak2 , Prof. Suvarna Aranjo3 1,2Student, 3Lecturer,
Department of Information Technology, Xavier Institute of Engineering, Maharashtra, India Department of Information Technology, Xavier Institute of Engineering, Maharashtra, India
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Abstract - The face of the human is an important organ
2. LITERATURE SURVEY
of an individual‘s body and it plays an important role in extraction of an individual‘s behaviour and emotional state. Manually segregating the list of songs associated, generating acceptable playlist supported an individual‘s emotions could be a terribly tedious, time overwhelming, intensive and upheld task. Extracting the desired input from the human face can now be done directly employing a camera. This input will then be employed in many ways. One in every of the applications of this input are often for extracting the data to deduce the mood of a varied algorithms are developed and planned for automating the playlist generation method. Mood music Player aims at scanning and deciphering the information and consequently making a playlist based on the parameters provided.
The most easiest way to express emotions for humans is using facial expressions. We humans, often use nonverbal cues such as hand gestures, facial expressions, and tone of the voice to express feelings. The proposed approaches have focused only on the some of the basic emotions. For this reason, facial features have been categorized into two major categories such as Appearance-based feature extraction and Geometric based feature extraction by zheng et. al [1]. The paper by Hafeez Kabini et al [2] suggested the problem of the existing methods to handle only deliberately displayed and exaggerated expressions of prototypical emotions despite the fact that deliberate behavior differs in visual appearance, audio profile, and timing from spontaneously occurring behavior, by taking efforts to develop algorithms that can process naturally occurring human affective behavior have recently emerged. They also introduced and researched these recent information and discussed human emotion perception from a psychological perspective. Nikhil Zaware et al [3] stated that it is very time consuming and lengthy task to create and manage large playlists and to select songs from such playlists. Therefore, it would be of great use if the music player itself selects a song according to the current mood of the user using an application to minimize the efforts of managing playlists. In their paper, they stated a way to detect the mood of the user automatically and generate playlist of songs which is suitable for the user’s current mood. The photo is captured using webcam and that photo is passed under various steps to detect the mood or emotion of the user.
Key Words:
Music player, Face Detection, Facial Expression Recognition, Audio Feature Recognition, Viola Jones Algorithm.
1. INTRODUCTION Music plays a very important role in enhancing an individual‘s life as it is an important medium of entertainment for music lovers and listeners and sometimes even imparts a therapeutic approach. In today‘s world, with ever increasing advancements within the field of multimedia system and technology, varied music players are developed with options like quick forward, reverse, variable playback speed (seek & time compression),local playback, streaming playback with multicast streams. though these options satisfy the user‘s basic needs, nevertheless the user has got to face the task of manually browsing through the list of songs and choose songs supported his current mood and behavior. Facial Expression based music player is interactive, sophisticated and innovative mobile (Android) based application to be used as a music player in an exceedingly totally different manner. The application works in an exceedingly totally different manner from the normal because it scans and classifies the audio files present on the device and in line with the predefined parameters (Audio Features) present on the application so as to provide a group of mood based on the playlists. The real time input provided to the application is assessed (Facial expression recognition) to provide a “mood‟ which is able to then be accustomed choose the desired playlist accordingly.
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The application is thus developed in such a way that it can manage content accessed by user, analyze the image properties and also determine the mood of the user. To detect facial expression as indicator to cast a music playlist is one task carried out by Setiawardhana et al [4] in their technical paper. They work by doing facial expression detection system input performed offline by taking images of a subject with nearest position from the camera where facial position must not be tilted. The image is identified as a combination of color and feature extraction is performed based on location of eyebrow, eye, and mouth. Anukriti Dureha [5] suggested manual segregation of a playlist and annotation of songs, according to the current
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