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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8169
ADAVNCE MEDIA PLAYER
Akash gawai1, Digvijay Rawat2, Vilas Rathod3, Abhishek Vishwakarma4
1,2,3,4 Student,Dept of Computer Engineering, Thakur Polytechnic, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In this project, we are developing an advanced media player which plays and pauses the video by detecting theusers
face looking at screen or not and also the field of computer vision based hand gesture interfaces for Human-ComputerInteraction
(HCI). System monitors whether the user is looking at the screen or not using a web camera. Ifyesthendoesn't interruptsthevideo
and allows it to play. Along with these, the web camera will also detect the users hand gestures which can be used for performing
various events like increasing or decreasing the volume, changing to next video or previous video, etc. In case if the user is not
looking at the or say the system couldn't detect the users face then it immediately stops the video. Currently we propose to build
prototype for exploring the use of marking menus in gesture-based interaction for controlling the Media player
Key Words: LOOK BASED MEDIA PAYER, GESTER CONTROL, EYE, DETECTION.
1.INTRODUCTION
When watching any media on your device may it be a computer screen, a tablet, mobile phone etc the video keeps playing
whether you are watching the media or not. If the user is away from the device they may miss parts of the media they are
watching. When a user uses look based media player which pauses any media until the user looks back at the screen. this is
done by using a webcam that is placed on the computer or an inbuilt camera in a laptop or a mobile device. This software is
capable of gesture control and gesture detection which with the help of the webcam detects your eye and pauses the media
whenever the user is not looking. Additional features like volume up, volume down, nextandpreviousareincludedfora better
experience
The following short-comings of ordinary media players:
1) Media has to be paused, played manually
2) Parts of media is missed by the user if not paused manually
3) The media has to be dragged back wherever the user last watched it.
Therefore, through look based media player these problems can be solved by making theordinarymedia playermoreadvance
thus creating a better experience for the user.
1.1 Problem Definition
The aim of this project is to provide a better experience to the user. Since nowadays people use theirscreenstogathernewsand
stay updated Therefore a media players play an importantrolewhenitcomestowatchinganyvideos,moviesetconyourdevice.
A look based media player gives a better experience to the user thus solving a few drawbacks the ordinary standard media
player has. The look based media player uses gesturecontrol and gesturedetection to make an overall betterexperienceforthe
user
2. PROPOSED MODEL
The proposed systems is used to solve the problem of pausing and playing the media form where the user last left multiple
times. It also eliminates the problems of touching the screen almost entirely while watching the media. This is done by using
Eye detection, gesture control and gesture detection which is carried out by the software and the webcamthatisplacedonthe
top of the computer screen
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8170
Fig -1: Basic Block diagram of system.
2.1 Literature Survey
SR NO. PAPER AUTHORS NAME RESULT DISADVANTAGES
1 Controlling Multimedia
Applications Using
Hand Gesture
Recognition.
Neha Roka de, et.
All.
Easy & simple to
control Real time
system such as
multimedia apps.
Conversion of original image into
so many forms such as HSV Scale
image, Threshold image, Filtered
image.
2 A Vision Based Hand
Gesture Interface for
Controlling VLC Media
Player.
Sidharth Rauta ray,
et. All.
Can easily control VLC
Media player using
Hand gestures.
Use of complex algorithms such
knearest, neighborhood pyramid
,lucas kanade optical flow
3 Emotion Detection
Using Facial
Expression.
Jyoti Rani, et. All. 1. Automated Facial
Express ion
Recognition System.
2. Face Detection.
3.Emoti on Detection
1. May occur delay while displaying
results.
2. Invariant to different distraction
like glasses,styles,facial hairs
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8171
3. SYSTEM SPECIFICATION:
HARDWARE REQUIREMENTS:
 1 GB ram
 200 GB HDD
 Intel 1.66 GHz Processor Pentium 4
 Web Camera
SOFTWARE REQUIREMENTS:
 Windows XP, Windows 7,8
 Visual Studio 2010
 Windows Operating System
4. Objectives
1. It helps the user to interact with the media player without touching the screen.
2. This system also provides the feature of controlling other functions of media player such as volume up, volume down,
forward and backward using hand gestures.
3. The media player pause the video as soon as the user face is not detected.
4. The hand gestures should be captured accurately and actions associated to them should performed perfectly.
Features
Look based media player following advantages:
1. Users cannot miss any part of the video.
2. The video stops as user changes their view from the video thereby no need of users to keep on dragging back to the
point from where they missed.
3. You can also forward and backward the video if required.
4. It saves time and electricity.
5. It gives accurate result.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8172
7. CONCLUSIONS
The look based media player provides added features as compared to the standard media playerwhichincludeseyedetection,
gesture controls etc
which makes an overall better experience for any user using this media player.
Eye detection feature is used to play and pause the media automatically while the hand gesture detection feature is used to
access the components
of the media player without touching the screen. The main goal of our project is to provide a better experience for the users
while using this media player.
8. REFERENCES
[1] Harsha Jadhav, Sabiha Pathan, Neha Rokade et Uma Annamalai “Hand Gesture Recognition System For Multimedia
Applications”, International Research Journal of Engineering and Technology (IRJET) Volume: 03 Issue: 04 | Apr-2016, Apr-
2016.
[2] Harshala Chaudhari , Amrapali Waghmare , Reshma Ganjewar , Dr. Abhijit Banubakode “A Media Player which operates
depending on Human Emotions”International Journal ofAdvancedResearchinComputerandCommunicationEngineering Vol.
4, Issue 5, May 2015.
[3] Jyoti Rani et Kanwal Garg, “Emotion Detection Using Facial Expression”, Journ. International Journal OfAdvancedResearch
In Computer Science & Software Engineering, Vol. 4, PP-465467, April 2016.
[4] N. Krishna Chaitanya et R. Janardan Rao “ControllingOFWindowsMedia PlayerUsingHandRecognitionSystem”,Journ.The
International Journal Of Engineering And Science (IJES), vol. 3, PP 01-04, 2014.
[5] Deepak, M. Vikas, “Speech Recognition using FIR Wiener Filter”, International Journal of Application or Innovation in
Engineering & management (IJAIEM),pp.204-20,2013.
[6] Madhu N: Note on measures for spectral flatness. Electron. Lett 2009,45(23):1195–1196 Khoa PC: Noise robust voice
activity detection. Master’s thesis, NangYang Technological University, 2012

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IRJET- Adavnce Media Player

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8169 ADAVNCE MEDIA PLAYER Akash gawai1, Digvijay Rawat2, Vilas Rathod3, Abhishek Vishwakarma4 1,2,3,4 Student,Dept of Computer Engineering, Thakur Polytechnic, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In this project, we are developing an advanced media player which plays and pauses the video by detecting theusers face looking at screen or not and also the field of computer vision based hand gesture interfaces for Human-ComputerInteraction (HCI). System monitors whether the user is looking at the screen or not using a web camera. Ifyesthendoesn't interruptsthevideo and allows it to play. Along with these, the web camera will also detect the users hand gestures which can be used for performing various events like increasing or decreasing the volume, changing to next video or previous video, etc. In case if the user is not looking at the or say the system couldn't detect the users face then it immediately stops the video. Currently we propose to build prototype for exploring the use of marking menus in gesture-based interaction for controlling the Media player Key Words: LOOK BASED MEDIA PAYER, GESTER CONTROL, EYE, DETECTION. 1.INTRODUCTION When watching any media on your device may it be a computer screen, a tablet, mobile phone etc the video keeps playing whether you are watching the media or not. If the user is away from the device they may miss parts of the media they are watching. When a user uses look based media player which pauses any media until the user looks back at the screen. this is done by using a webcam that is placed on the computer or an inbuilt camera in a laptop or a mobile device. This software is capable of gesture control and gesture detection which with the help of the webcam detects your eye and pauses the media whenever the user is not looking. Additional features like volume up, volume down, nextandpreviousareincludedfora better experience The following short-comings of ordinary media players: 1) Media has to be paused, played manually 2) Parts of media is missed by the user if not paused manually 3) The media has to be dragged back wherever the user last watched it. Therefore, through look based media player these problems can be solved by making theordinarymedia playermoreadvance thus creating a better experience for the user. 1.1 Problem Definition The aim of this project is to provide a better experience to the user. Since nowadays people use theirscreenstogathernewsand stay updated Therefore a media players play an importantrolewhenitcomestowatchinganyvideos,moviesetconyourdevice. A look based media player gives a better experience to the user thus solving a few drawbacks the ordinary standard media player has. The look based media player uses gesturecontrol and gesturedetection to make an overall betterexperienceforthe user 2. PROPOSED MODEL The proposed systems is used to solve the problem of pausing and playing the media form where the user last left multiple times. It also eliminates the problems of touching the screen almost entirely while watching the media. This is done by using Eye detection, gesture control and gesture detection which is carried out by the software and the webcamthatisplacedonthe top of the computer screen
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8170 Fig -1: Basic Block diagram of system. 2.1 Literature Survey SR NO. PAPER AUTHORS NAME RESULT DISADVANTAGES 1 Controlling Multimedia Applications Using Hand Gesture Recognition. Neha Roka de, et. All. Easy & simple to control Real time system such as multimedia apps. Conversion of original image into so many forms such as HSV Scale image, Threshold image, Filtered image. 2 A Vision Based Hand Gesture Interface for Controlling VLC Media Player. Sidharth Rauta ray, et. All. Can easily control VLC Media player using Hand gestures. Use of complex algorithms such knearest, neighborhood pyramid ,lucas kanade optical flow 3 Emotion Detection Using Facial Expression. Jyoti Rani, et. All. 1. Automated Facial Express ion Recognition System. 2. Face Detection. 3.Emoti on Detection 1. May occur delay while displaying results. 2. Invariant to different distraction like glasses,styles,facial hairs
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8171 3. SYSTEM SPECIFICATION: HARDWARE REQUIREMENTS:  1 GB ram  200 GB HDD  Intel 1.66 GHz Processor Pentium 4  Web Camera SOFTWARE REQUIREMENTS:  Windows XP, Windows 7,8  Visual Studio 2010  Windows Operating System 4. Objectives 1. It helps the user to interact with the media player without touching the screen. 2. This system also provides the feature of controlling other functions of media player such as volume up, volume down, forward and backward using hand gestures. 3. The media player pause the video as soon as the user face is not detected. 4. The hand gestures should be captured accurately and actions associated to them should performed perfectly. Features Look based media player following advantages: 1. Users cannot miss any part of the video. 2. The video stops as user changes their view from the video thereby no need of users to keep on dragging back to the point from where they missed. 3. You can also forward and backward the video if required. 4. It saves time and electricity. 5. It gives accurate result.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 8172 7. CONCLUSIONS The look based media player provides added features as compared to the standard media playerwhichincludeseyedetection, gesture controls etc which makes an overall better experience for any user using this media player. Eye detection feature is used to play and pause the media automatically while the hand gesture detection feature is used to access the components of the media player without touching the screen. The main goal of our project is to provide a better experience for the users while using this media player. 8. REFERENCES [1] Harsha Jadhav, Sabiha Pathan, Neha Rokade et Uma Annamalai “Hand Gesture Recognition System For Multimedia Applications”, International Research Journal of Engineering and Technology (IRJET) Volume: 03 Issue: 04 | Apr-2016, Apr- 2016. [2] Harshala Chaudhari , Amrapali Waghmare , Reshma Ganjewar , Dr. Abhijit Banubakode “A Media Player which operates depending on Human Emotions”International Journal ofAdvancedResearchinComputerandCommunicationEngineering Vol. 4, Issue 5, May 2015. [3] Jyoti Rani et Kanwal Garg, “Emotion Detection Using Facial Expression”, Journ. International Journal OfAdvancedResearch In Computer Science & Software Engineering, Vol. 4, PP-465467, April 2016. [4] N. Krishna Chaitanya et R. Janardan Rao “ControllingOFWindowsMedia PlayerUsingHandRecognitionSystem”,Journ.The International Journal Of Engineering And Science (IJES), vol. 3, PP 01-04, 2014. [5] Deepak, M. Vikas, “Speech Recognition using FIR Wiener Filter”, International Journal of Application or Innovation in Engineering & management (IJAIEM),pp.204-20,2013. [6] Madhu N: Note on measures for spectral flatness. Electron. Lett 2009,45(23):1195–1196 Khoa PC: Noise robust voice activity detection. Master’s thesis, NangYang Technological University, 2012