Toward E-Motion-Based Music Retrieval a Study ofAffective Gesture Recognition(ABSTRACT)The widespread availability of digi...
This system takes capture image by means of web camera connected toARM microcontroller through USB and the image is proces...
TARGET DEVICE: S3C2440 (ARM9).OPERATING SYSTEM: LINUXAPPLICATIONS: Used for controlling music player through emotionsADVAN...
REFERENCE:1. The 8051 micro controller and embedded systems by Mazidi.2. Datasheets and the user manuals of S3C2440.www.na...
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Toward E motion-based music retrieval a study of affective gesture recognition

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Toward E motion-based music retrieval a study of affective gesture recognition

  1. 1. Toward E-Motion-Based Music Retrieval a Study ofAffective Gesture Recognition(ABSTRACT)The widespread availability of digitized music collections and mobile musicplayers have enabled us to listen to music during many of our daily activities, suchas physical exercise, commuting, relaxation, and many people enjoy this.A practical problem that comes along with the wish to listen to music is thatof music retrieval, the selection of desired music from a music collection. In thispaper, we propose a new approach to facilitate music retrieval. Modern smartphones are commonly used as music players and are already equipped with inertialsensors that are suitable for obtaining motion information. In the proposedapproach, emotion is derived automatically from arm gestures and is used to querya music collection.We derive predictive models for valence and arousal from empirical data,gathered in an experimental setup where inertial data recorded from armmovements are coupled to musical emotion. Part of the experiment is a preliminarystudy confirming that human subjects are generally capable of recognizing affectfrom arm gestures. Model validation in the main study confirmed the predictivecapabilities of the models.Our Embedded system using ARM 32 bit Microcontroller has feature ofimage/video processing by using various features and classification algorithmshave been proposed for emotions detection. It overcomes the performance in termsof sensors and hardware cost is also too high.www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur
  2. 2. This system takes capture image by means of web camera connected toARM microcontroller through USB and the image is processed by using imageprocessing technique. Image processing is any form of signal processing forwhich the input is an image, such as a photograph or video frame; the output ofimage processing may be either an image or a set of characteristics or parametersrelated to the image.So, our design Embedded system that detects arm movement by usingcamera. Based on captured image of arm movement songs are played in musicplayer at PC. The captured data are sending to PC through zigbee and hence songsare controlled.BLOCK DIAGRAM:www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur
  3. 3. TARGET DEVICE: S3C2440 (ARM9).OPERATING SYSTEM: LINUXAPPLICATIONS: Used for controlling music player through emotionsADVANTAGES: Low cost, easy to use for rural areas, automated operation, andLow Power consumption.www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpurS3C2440MICROCONTROLLERREGULATEDPOWER SUPPLYZIGBEEUSB DEVICEUSBCAMERAPC RS-232 ZIGBEE
  4. 4. REFERENCE:1. The 8051 micro controller and embedded systems by Mazidi.2. Datasheets and the user manuals of S3C2440.www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur

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