Deep Learning for Hand Gesture Recognition in Virtual Museum Using Wearable Vision Sensors-Reference-Cited by-同舟云学术

Deep Learning for Hand Gesture Recognition in Virtual Museum Using Wearable Vision Sensors

Published:2024-03-15 Issue:6 Volume:24 Page:8857-8869
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zerrouki Nabil¹,Harrou Fouzi²^ORCID,Houacine Amrane³,Bouarroudj Riadh³^ORCID,Cherifi Mohammed Yazid³,Zouina Ait-Djafer Amina¹^ORCID,Sun Ying²^ORCID

Affiliation:

1. Center for Development of Advanced Technologies, Algiers, Algeria

2. Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

3. Faculty of Electronics and Computer Science, University of Sciences and Technology Houari Boumédienne, Algiers, Algeria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10472410/10413285.pdf?arnumber=10413285

Reference38 articles.

1. Exploiting Deep Learning-Based LSTM Classification for Improving Hand Gesture Recognition to Enhance Visitors’ Museum Experiences

2. StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments

3. Gesture Recognition Using Mobile Phone’s Inertial Sensors

4. Hand Gesture Recognition Based on Computer Vision: A Review of Techniques

5. Combined curvelets and hidden Markov models for human fall detection

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