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  Published Paper Details:

  Paper Title

HAND MOTION BASED COMPUTER ACTIVITY CONTROL

  Authors

  Jayesh Jidge,  Sanika Badwaik,  Rutika Bhoir,  Kanchan Doke

  Keywords

Alternative input, computer control, neural network gesture control; computer vision.

  Abstract


: Human-computer communication (HCI) has been one of the major advancements in the development of technology as a new means of communication between humans and computers in today's world. Several new interactive methods, such as Sign and speech recognition, visual analysis, virtual reality, touch-free writing, brain activity have come out in recent years to achieve this goal. We need an alternative means to control computers and the technology needs to be robust so that it can be scaled on bigger boundaries. So, the proposed algorithm develops an alternative input means which can be useful in real time applications to control the daily computer activities like controlling media player, web browser, file manager, PowerPoint presentations and also for playing games through different gesture commands using a simple web camera. The main aim is to study and analyze the use of gesture recognition techniques for embedded systems by proposing a new model based on neural networks such as 2D and 3D CNNs able to perform gesture control using a simple web camera without any additional expensive hardware.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2204441

  Paper ID - 218397

  Page Number(s) - d797-d803

  Pubished in - Volume 10 | Issue 4 | April 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Jayesh Jidge,  Sanika Badwaik,  Rutika Bhoir,  Kanchan Doke,   "HAND MOTION BASED COMPUTER ACTIVITY CONTROL", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.d797-d803, April 2022, Available at :http://www.ijcrt.org/papers/IJCRT2204441.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


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