← Back to Publications

Yolov5-Based Attention Mechanism for Gesture Recognition in Complex Environment

YOLO
Deep Learning
Gesture Recognition
Computer Vision

Deepak Kumar Khare, Amit Bhagat, R. Vishnu Priya, Prashant Kumar Nag, and Sunil Malviya, “Yolov5-Based Attention Mechanism for Gesture Recognition in Complex Environment,” International Journal of Advanced Computer Science & Applications, vol. 15, no. 11, pp. 699, November 2024, doi: 10.14569/ijacsa.2024.0151167

Authors
Affiliations

Deepak Kumar Khare

Maulana Azad National Institute of Technology, Bhopal

Amit Bhagat

Maulana Azad National Institute of Technology, Bhopal

R. Vishnu Priya

National Institute of Technology Tiruchirappalli, Tamilnadu

Prashant Kumar Nag

Maulana Azad National Institute of Technology, Bhopal

Sunil Malviya

Maulana Azad National Institute of Technology, Bhopal

Published

November 2024

Doi

10.14569/ijacsa.2024.0151167

Abstract

This paper proposes a Yolov5-based attention mechanism for gesture recognition in complex environments. The algorithm addresses challenges in gesture detection including varying scales, occlusions, and complex backgrounds. By incorporating attention mechanisms, the model improves feature extraction and recognition accuracy.

Citation

Add to Zotero 

@article{khare2024Yolov5BasedAttentionMechanism,
  title = {Yolov5-{Based} {Attention} {Mechanism} for {Gesture} {Recognition} in {Complex} {Environment}},
  volume = {15},
  issn = {2158-107X},
  url = {https://openurl.ebsco.com/contentitem/doi:10.14569%2Fijacsa.2024.0151167},
  doi = {10.14569/ijacsa.2024.0151167},
  number = {11},
  journal = {International Journal of Advanced Computer Science \& Applications},
  author = {Khare, Deepak Kumar and Bhagat, Amit and Priya, R. Vishnu and Nag, Prashant Kumar and Malviya, Sunil},
  month = nov,
  year = {2024},
  pages = {699}
}