An improved hand gesture recognition system using keypoints and hand bounding boxes
Hand gesture recognition is a significant problem for human–computer interaction. One form of hand gesture recognition is static hand gestures. This study developed a static hand gesture recognition system, consisting of three modules: Feature extraction Module, Processing Module, and Classification...
Main Authors: | Tuan Linh Dang, Sy Dat Tran, Thuy Hang Nguyen, Suntae Kim, Nicolas Monet |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
|
Series: | Array |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005622000844 |
Similar Items
-
3D Skeletal Joints-Based Hand Gesture Spotting and Classification
by: Ngoc-Hoang Nguyen, et al.
Published: (2021-05-01) -
Real-Time Hand Gesture Recognition using Motion Tracking
by: Chi-Man Pun, et al.
Published: (2011-04-01) -
Data Augmentation of Surface Electromyography for Hand Gesture Recognition
by: Panagiotis Tsinganos, et al.
Published: (2020-08-01) -
Two-Dimensional Parallel Spatio-Temporal Pyramid Pooling for Hand Gesture Recognition
by: Farzaneh Jafari, et al.
Published: (2023-01-01) -
Combined Hand Gesture — Speech Model for Human Action Recognition
by: Sheng-Tzong Cheng, et al.
Published: (2013-12-01)