Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques

@article{Dardas2011RealTimeHG,
  title={Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques},
  author={Nasser H. Dardas and Nicolas D. Georganas},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2011},
  volume={60},
  pages={3592-3607}
}
This paper presents a novel and real-time system for interaction with an application or video game via hand gestures. Our system includes detecting and tracking bare hand in cluttered background using skin detection and hand posture contour comparison algorithm after face subtraction, recognizing hand gestures via bag-of-features and multiclass support vector machine (SVM) and building a grammar that generates gesture commands to control an application. In the training stage, after extracting… CONTINUE READING
Highly Influential
This paper has highly influenced 20 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 254 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 153 extracted citations

A Review on Feature Extraction for Indian and American Sign Language

Neelam K. Gilorkar, Manisha M. Ingle
2014
View 10 Excerpts
Highly Influenced

FPGA based hand sign recognition system

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) • 2017
View 6 Excerpts
Highly Influenced

A new hand representation based on kernels for hand posture recognition

2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) • 2015
View 6 Excerpts
Highly Influenced

Multi-sensor system for driver's hand-gesture recognition

2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) • 2015
View 6 Excerpts
Highly Influenced

255 Citations

0204060'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 255 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 62 references

A realtime hand gesture recognition based on Haar wavelet representation

2008 IEEE International Conference on Robotics and Biomimetics • 2008
View 8 Excerpts
Highly Influenced

Real-time Vision-based Hand Gesture Recognition Using Haar-like Features

2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007 • 2007
View 7 Excerpts
Highly Influenced

SURF: Speeded Up Robust Features

View 6 Excerpts
Highly Influenced

Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision • 2004
View 4 Excerpts
Highly Influenced

Robust Real-time Object Detection

S ECOND I NTERNATIONAL W ORKSHOP ON S TATISTICAL, S AMPLING V ANCOUVER, Paul M. Jones
2001
View 8 Excerpts
Highly Influenced

Hand Posture Recognition in a Body-Face Centered Space

Gesture Workshop • 1999
View 12 Excerpts
Highly Influenced

Real-Time Hand Gesture Recognition Based on Vision

Edutainment • 2010
View 7 Excerpts
Highly Influenced

Hand gesture recognition using Bag-of-features and multi-class Support Vector Machine

2010 IEEE International Symposium on Haptic Audio Visual Environments and Games • 2010
View 6 Excerpts

Similar Papers

Loading similar papers…