Deep Learning for Dynamic Hand Gesture Recognition: Applications, Challenges and Future Scope-Reference-Cited by-同舟云学术

Deep Learning for Dynamic Hand Gesture Recognition: Applications, Challenges and Future Scope

Published:2022-11-26 Issue: Volume: Page:
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Container-title:2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)
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Author:

Kaur Arpneek¹,Bansal Sandhya¹

Affiliation:

1. Maharishi Markandeshwar (Deemed to be University),Maharishi Markandeshwar Engineering College,Department of Computer Science and Engineering,Ambala,Haryana,India,133207

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028979/10028744/10029100.pdf?arnumber=10029100

Reference33 articles.

1. A Review of the Hand Gesture Recognition System: Current Progress and Future Directions

2. In-situ recognition of hand gesture via Enhanced Xception based single-stage deep convolutional neural network

3. Multimodal hand gesture recognition combining temporal and pose information based on CNN descriptors and histogram of cumulative magnitudes

4. Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion

5. Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG;jiang;Personal and Ubiquitous Computing,2019

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