A Node Point Approach for Real-Time Hand Gesture Recognition Using Support Vector Machines (SVM)

Nida Khalil, Maheen Danish, Kanza Zafar

Open source

DOI: 10.22555/pjets.v12i2.1086
Published: 2024-12-01
Container: Pakistan Journal of Engineering, Technology and Science
Publisher: Institute of Business Management
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.22555/pjets.v12i2.1086,
  title = {A Node Point Approach for Real-Time Hand Gesture Recognition Using Support Vector Machines (SVM)},
  author = {Nida Khalil and Maheen Danish and Kanza Zafar},
  year = {2024},
  journal = {Pakistan Journal of Engineering, Technology and Science},
  doi = {10.22555/pjets.v12i2.1086},
  url = {https://doi.org/10.22555/pjets.v12i2.1086}
}

RIS

TY  - JOUR
TI  - A Node Point Approach for Real-Time Hand Gesture Recognition Using Support Vector Machines (SVM)
AU  - Nida Khalil
AU  - Maheen Danish
AU  - Kanza Zafar
PY  - 2024
JO  - Pakistan Journal of Engineering, Technology and Science
DO  - 10.22555/pjets.v12i2.1086
UR  - https://doi.org/10.22555/pjets.v12i2.1086
ER  -

APA

Khalil, N., Danish, M., & Zafar, K. (2024). A Node Point Approach for Real-Time Hand Gesture Recognition Using Support Vector Machines (SVM). Pakistan Journal of Engineering, Technology and Science. https://doi.org/10.22555/pjets.v12i2.1086

Source records

crossref · retrieved 2026-11-10T10:54:13.681Z