International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
MEDIA PLAYER WITH FACE DETECTION AND HAND GESTURE MUKESH VISHWAKARMA1 , AKSHAY NAVRATNE2 , SNEHA GHORPADE3 , SAKET THOMBRE4 , TRUPTI KUMBHARE5 Student (UG), Department of Computer Engineering, A.I.S.S.M.S. College of Engineering, Pune, Maharashtra, India. 1.2.3.4
5Assistant
Professor, Department of Computer Engineering, A.I.S.S.M.S. College of Engineering, Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------2. PURPOSE Abstract - When you are playing a video on your laptops or PC and somebody calls you, you have getaway from your device or simply look away from it due to this you miss some port of video. Then you have to drag back the video to see the video from where you have left. Now to overcome this problem we can build a media player that detects human face and for the time it is detecting a face video will be played else video will pause automatically. The player starts running again as soon as it detect a face. This can be achieved using the camera or webcam on top of the computer. As long as the camera detects a face the video keeps on playing. The player pauses as soon as users face is not completely seen. Here we have also added some extra feature that track hand movement to control mouse cursor and left click operation which is used to control media player functions which include dragging a video forward/backward, increasing and decreasing volume, choosing other videos to play .
The aim of the project is to monitor and control the media player. This media player can increase the level of human computer interaction (HCI) than the current scenario.
3. SCOPE This media player can help in reducing human efforts Later on, this technique can be used to control systems using HCI like multimedia player, pdf reader, power point etc.
4. LITERATURE SURVEY 4.1 Face Detection and Tracking using Open CV Authors: S.V. Viraktamath, Mukund Katti, Aditya Khatawka and Pavan Kulkarni In [1], they analyze the image and has been stored in database and it will check the size, position and the location of face. It tracks the face and gives the desired result as needed. The face detection methods are: knowledge approach and Static approach and integration based with several functionality or process. It is also used in (HCI) human computer interface and image detection.
Key Words: Face detection, Gesture, Camera. 1. INTRODUCTION In the existing world, the communication with the intelligent Devices has increased. Everyone is dependent to perform most of their tasks using computers. For efficient using of these systems, we want our computer application to communicate more are more. This communication can be among applications or with user. For that motive, humancomputer interaction (HCI) has been a dynamic field of study in the last decades. A media player is computer program for playing multimedia files like videos, movies and music. Media players display standard media control icons known from physical devices such as tape recorders and CD players, such as play, pause fast forward, back forward, and stop buttons. Different media players may have different goals and feature sets but now a days there are such media player’s that can be communicate with person face and hand gesture. We often use hand gesture in communication with people in real world, we can use hand gesture to interact with the digital world also.
Š 2017, IRJET
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4.2 A Media Player which operates on Human Emotions Authors: Harshala Chaudhary, Amrapali Waghmare, Reshma Ganjewar, Dr. Abhijit Banubakode In [2], They have implemented a new technique known as Emotion Sensory World of Blue Eyes Technology which identifies human emotions (sad, happy or thinking) here we use image processing techniques and extract eye portion from the image captured which is then compared to the stored images of database. So, the media player is based on blue eyes technology. The technique we used for detection of human face or emotion has applications like (HCI) human computer interaction , image processing there are methods of detecting emotions like face detection, eye detection, lip
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