https://github.com/ankitkomar1/vr_medical_training_updated

https://github.com/ankitkomar1/vr_medical_training_updated

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: ankitkomar1
  • Default Branch: main
  • Size: 4.88 KB
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

Adaptive Virtual Reality Medical Training

This repository contains the source code and dataset for the paper:

Title: Adaptive Virtual Reality Medical Training: Enhancing Skill Acquisition with Haptic Feedback and AI-Powered Learning
Authors: Ankit Kumar, Abdul Khader Jilani Saudagar, Abhishek Kumar, Yazeed Masaud Alkhrijah
Journal: The Visual Computer
DOI: 10.1007/s00371-XXXXX
GitHub Repository: https://github.com/YourRepoName

Citation

If you use this repository in your research, please cite it as follows:

APA Format:

Kumar, A., Saudagar, A. K. J., Kumar, A., & Alkhrijah, Y. M. (2024). Adaptive Virtual Reality Medical Training: Enhancing Skill Acquisition with Haptic Feedback and AI-Powered Learning. The Visual Computer. https://doi.org/10.1007/s00371-XXXXX

BibTeX Format:

bibtex @article{kumar2024vr, author = {Kumar, Ankit and Saudagar, Abdul Khader Jilani and Kumar, Abhishek and Alkhrijah, Yazeed Masaud}, title = {Adaptive Virtual Reality Medical Training: Enhancing Skill Acquisition with Haptic Feedback and AI-Powered Learning}, journal = {The Visual Computer}, year = {2024}, doi = {10.1007/s00371-XXXXX}, url = {https://github.com/YourRepoName} } ```

Installation and Usage

  1. Clone the repository: bash git clone https://github.com/YourRepoName.git cd YourRepoName

  2. Install dependencies: bash pip install -r requirements.txt

  3. Run the main script: bash python main.py

Dataset

The dataset used in this study is available at: Dataset Link
For details on how to use the dataset, refer to the dataset README.

Contact

For any queries, please contact:
Dr. Ankit Kumar - ankit.kumar@example.com

Owner

  • Login: ankitkomar1
  • Kind: user

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