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19-03-2015, 07:59 PM
Post: #1
emotion based music player project in net download

i wanna see the ppt
20-03-2015, 02:33 PM
Post: #2
RE: emotion based music player project in net download
To get full information or details of emotion based music player please have a look on the pages

http://projects-seminars.net/Thread-emot...-discerner

if you again feel trouble on emotion based music player please reply in that page and ask specific fields in emotion based music player
26-12-2016, 05:48 PM
Post: #3
RE: emotion based music player project in net download
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03-02-2017, 10:59 AM
Post: #4
RE: emotion based music player project in net download
The human face is an important organ of the body of an individual and plays especially an important role in the extraction of
The behaviour of an individual and the emotional state. Manually split the playlist and generate an appropriate playlist
The emotional characteristics of the individual is a very tedious, time-consuming, lobar intensive and sustained task. Several algorithms have been
Proposed and developed to automate the process of generating playlists. However, the existing algorithms in use are
Computational slow, less accurate and sometimes even require the use of additional hardware such as EEG or sensors. This proposed system
Based on the extracted facial expression it will automatically generate a playlist, thus reducing the effort and time involved in the rendering
The process manually. Therefore, the proposed system tends to reduce the computational time involved in obtaining the results and the
Cost of the system designed, thus increasing the overall system accuracy. The system test is performed both on the user
Dependent (dynamic) and independent of the user (static). Facial expressions are captured using a built-in camera. The accuracy of
The emotion detection algorithm used in the real-time imaging system is around 85-90%, while for static images it is around 98-
100%. The proposed algorithm on a calculated average estimate takes about 0.95-1.05 seconds to generate music based on emotion
Playlist Thus, it produces better accuracy in terms of performance and computational time and reduces design cost, compared to
The algorithms used in the literature survey.
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