Hand Gesture Recognition From Wrist-Worn Camera for Human–Machine Interaction-Reference-Cited by-同舟云学术

Hand Gesture Recognition From Wrist-Worn Camera for Human–Machine Interaction

Published:2023 Issue: Volume:11 Page:53262-53274
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nguyen Hong-Quan¹^ORCID,Le Trung-Hieu¹^ORCID,Tran Trung-Kien²^ORCID,Tran Hoang-Nhat¹^ORCID,Tran Thanh-Hai¹^ORCID,Le Thi-Lan¹^ORCID,Vu Hai¹^ORCID,Pham Cuong³^ORCID,Nguyen Thanh Phuong⁴^ORCID,Nguyen Huu Thanh¹^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam

2. Military Information Technology Institute, Hanoi, Vietnam

3. Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

4. 6LIS UMR 7020, Université de Toulon, Aix Marseille Université, CNRS, Toulon, France

Funder

Air Force Office of Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10135101.pdf?arnumber=10135101

Reference36 articles.

1. Recognizing Activities of Daily Living with a Wrist-Mounted Camera

2. Real-time hand gesture detection and classification using convolutional neural networks;köpüklü;Proc 14th IEEE Int Conf Autom Face Gesture Recognit (FG),2019

3. WristSense: Wrist-worn sensor device with camera for daily activity recognition

4. Improving Human Action Recognition with Two-Stream 3D Convolutional Neural Network

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

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