LM-Net-Dual: A Two Branch Spatiotemporal Feature Extraction Model for Dynamic Gestures Recognition-Reference-Cited by-同舟云学术

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LM-Net-Dual: A Two Branch Spatiotemporal Feature Extraction Model for Dynamic Gestures Recognition

Published:2023-12-15 Issue: Volume: Page:418-422
ISSN:
Container-title:2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
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Author:

Wang Zhaocong¹,Du Hang¹,Zhu Haiyu¹,Sun Xiaoyan¹

Affiliation:

1. School of Information Science and Technology, Hangzhou Normal University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527436/10527786/10527792.pdf?arnumber=10527792

Reference8 articles.

1. Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network

2. Dynamic Gesture Recognition Based on Leap Motion;Sun;Computer Engineering and Applications 55.13,2019

3. A Visual-Based Gesture Prediction Framework Applied in Social Robots

4. Exploiting Recurrent Neural Networks and Leap Motion Controller for the Recognition of Sign Language and Semaphoric Hand Gestures;Avola,2019

5. American Sign Language Words Recognition Using Spatio-Temporal Prosodic and Angle Features: A Sequential Learning Approach

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