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  Published Paper Details:

  Paper Title

GESTURE IDENTIFICATION USING MACHINE LEARNING

  Authors

  Bincy Annamma Saji,  N C Chanjal,  Ruhin Mary Saji,  Nayana V

  Keywords

dynamic time warping (DTW); hand gesture recognition (HGR); inertial measurement unit (IMU); machine learning; real-time learning; restricted coulomb energy (RCE) neural network.

  Abstract


Hand gesture is one of the most helpful technique for deaf and dumb people.Gesture recognition is done using IMU sensors which plays an important role in various IOTs.We can train the gestures using offline phase and can recognize these gestures during the offline phase.Without proper training,we cannot recognize these gestures.For recognizing gestures,we use Bluetooth enabled hand motion trajectory mounted on the wrist for identification.But this technique may become difficult if it willnot perform perfectly or may be damage.We use machine learning approach in which Bluetooth enabled IMU are not required.We use SSD algorithm and Inception Model.We use hands for gesture recognition and these are taken as image through camera and loaded to the tensorflow memory.Then it is compared with the trained dataset.If it matches,output is displayed on the screen.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2008016

  Paper ID - 197584

  Page Number(s) - 105-110

  Pubished in - Volume 8 | Issue 8 | August 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bincy Annamma Saji,  N C Chanjal,  Ruhin Mary Saji,  Nayana V,   "GESTURE IDENTIFICATION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 8, pp.105-110, August 2020, Available at :http://www.ijcrt.org/papers/IJCRT2008016.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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