Real-Time Gesture Recognition in the View of Repeating Characteristics of Sign Languages
Author:
Affiliation:
1. Bio-Robotics and Control (BiRC) Laboratory, Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea
Funder
National Research Foundation of Korea
Korean Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9906876/09716737.pdf?arnumber=9716737
Reference38 articles.
1. Using dynamic time warping to find patterns in time series;berndt;Proc Knowl Discovery Data Mining,0
2. Dynamic Hand Gesture Recognition Based on Signals From Specialized Data Glove and Deep Learning Algorithms
3. Design of a Flexible Wearable Smart sEMG Recorder Integrated Gradient Boosting Decision Tree Based Hand Gesture Recognition
4. Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications
5. Real-time one-shot learning gesture recognition based on lightweight 3D Inception-ResNet with separable convolutions
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