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

By Qing Chen, Nicolas D. Georganas, Emil M. Petriu. 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 2007

350 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/7432dbd12a768cade6430654442075591f341467

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. A. Al‐Naji
2. Javaan Singh Chahl
3. Munir Oudah

In Control and Systems Engineering

1. A. Al‐Naji
2. Javaan Singh Chahl
3. Munir Oudah

In Human-Computer Interaction

1. A. Al‐Naji
2. Javaan Singh Chahl
3. Munir Oudah

Citations in the corpus

• Real-Time Hand Gesture Detection and Recognition Using Bag-of-Features and Support Vector Machine Techniques (2011, neutral): “Therefore, we left with around 30% of the total images for recognition after detection, which will be the maximum recognition rate for algorithms used in [10], [60], [61].”
• Hand Gesture Recognition Based on Computer Vision: A Review of Techniques (2020, methodology): “[49] proposed two approaches for hand recognition.”