Highly Accurate Static Hand Gesture Recognition Model Using Deep Convolutional Neural Network for Human Machine Interaction-Reference-Cited by-同舟云学术

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Highly Accurate Static Hand Gesture Recognition Model Using Deep Convolutional Neural Network for Human Machine Interaction

Published:2022-01-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)
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Author:

Babu U. Sai¹,Raganna A.²,Vidyasagar K.N.²,Bharati S.H.²,Kumar Gautam³

Affiliation:

1. Accenture India Pvt. Ltd,Bangalore,India

2. REVA University,School of ECE,Bangalore,India

3. RLE India Pvt. Ltd,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716583/9716584/09716619.pdf?arnumber=9716619

Reference44 articles.

1. Canonical Skeletons for Shape Matching

2. Hand Gesture Recognition Based on MEB-SVM

3. Self-adaptive algorithm for segmenting skin regions

4. OUHANDS database for hand detection and pose recognition

5. Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Continuous Hand Gesture Recognition for Human-Robot Collaborative Assembly;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

2. Sparkling Silence: Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly;Artificial Intelligence and Soft Computing;2023

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