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  Published Paper Details:

  Paper Title

Research on Wearable Technologies and Human-Computer Interaction in the Context of Augmented Reality to Promote Grid Work

  Authors

  Madhu N Y,  Latha P H,  Savitha N

  Keywords

Augmented Reality; Grid Work; Wearable Technologies; Human-Computer Interaction

  Abstract


This study focuses on speech recognition, augmented reality, and human-computer interaction to improve power equipment installation, operation, and maintenance. Gestures and head movements are the primary modes of interaction, while voice commands and touch serve as secondary modes. The integration of speech recognition, augmented reality (AR), and human-computer interaction (HCI) represents a cutting-edge approach to enhancing the installation, operation, and maintenance of power equipment. By leveraging these technologies, the study aims to streamline processes and improve overall efficiency. By combining these technologies, the study aims to create a comprehensive system that empowers operators and technicians to work more effectively with power equipment. The seamless integration of speech recognition, AR, and HCI not only enhances productivity but also improves the overall user experience, ultimately leading to better outcomes in terms of installation accuracy, operational efficiency, and maintenance effectiveness.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1135515

  Paper ID - 254789

  Page Number(s) - 542-547

  Pubished in - Volume 5 | Issue 2 | May 2017

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Madhu N Y,  Latha P H,  Savitha N,   "Research on Wearable Technologies and Human-Computer Interaction in the Context of Augmented Reality to Promote Grid Work", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 2, pp.542-547, May 2017, Available at :http://www.ijcrt.org/papers/IJCRT1135515.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
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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