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Lightweight Visual Dynamic Gesture Recognition System Based on CNN-LSTM-DSA [PDF]

open access: yesSensors
Addressing the challenges of large-scale gesture recognition models, high computational complexity, and inefficient deployment on embedded devices, this study designs and implements a visual dynamic gesture recognition system based on a lightweight CNN ...
Zhenxing Wang   +3 more
doaj   +2 more sources

Approach for Improving User Interface Based on Gesture Recognition [PDF]

open access: yesE3S Web of Conferences, 2021
Gesture recognition technology based on visual detection to acquire gestures information is obtained in a non-contact manner. There are two types of gesture recognition: independent and continuous gesture recognition.
Elmagrouni Issam   +3 more
doaj   +1 more source

CSI Cross-domain Gesture Recognition Method Based on 3D Convolutional Neural Network [PDF]

open access: yesJisuanji kexue, 2021
Gesture recognition has important application prospects in human-computer interaction.In recent years,with the rapid development of wireless communication and the Internet of Things,WiFi devices have been deployed almost anywhere,and a large number of ...
WANG Chi, CHANG Jun
doaj   +1 more source

Dynamic Gesture Recognition System with Gesture Spotting Based on Self-Organizing Maps

open access: yesApplied Sciences, 2021
In this paper, a real-time dynamic hand gesture recognition system with gesture spotting function is proposed. In the proposed system, input video frames are converted to feature vectors, and they are used to form a posture sequence vector that ...
Hiroomi Hikawa   +3 more
doaj   +1 more source

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

open access: yesIEEE Access, 2021
This paper reviewed the sign language research in the vision-based hand gesture recognition system from 2014 to 2020. Its objective is to identify the progress and what needs more attention. We have extracted a total of 98 articles from well-known online
Noraini Mohamed   +2 more
doaj   +1 more source

Air-GR: An Over-the-Air Handwritten Character Recognition System Based on Coordinate Correction YOLOv5 Algorithm and LGR-CNN

open access: yesSensors, 2023
Traditional human-computer interaction technology relies heavily on input devices such as mice and keyboards, which limit the speed and naturalness of interaction and can no longer meet the more advanced interaction needs of users.
Yajun Zhang   +4 more
doaj   +1 more source

An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr

open access: yesJournal of Electrical and Computer Engineering, 2021
With the continuous improvement of people’s requirements for interactive experience, gesture recognition is widely used as a basic human-computer interaction.
Yan Luo, Gaoxiang Cui, Deguang Li
doaj   +1 more source

A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System

open access: yesJournal of Imaging, 2022
Researchers have recently focused their attention on vision-based hand gesture recognition. However, due to several constraints, achieving an effective vision-driven hand gesture recognition system in real time has remained a challenge.
Fahmid Al Farid   +7 more
doaj   +1 more source

MEMS Devices-Based Hand Gesture Recognition via Wearable Computing

open access: yesMicromachines, 2023
Gesture recognition has found widespread applications in various fields, such as virtual reality, medical diagnosis, and robot interaction. The existing mainstream gesture-recognition methods are primarily divided into two categories: inertial-sensor ...
Huihui Wang   +6 more
doaj   +1 more source

Hand Gesture Recognition for Sign Language Using 3DCNN

open access: yesIEEE Access, 2020
Recently, automatic hand gesture recognition has gained increasing importance for two principal reasons: the growth of the deaf and hearing-impaired population, and the development of vision-based applications and touchless control on ubiquitous devices.
Muneer Al-Hammadi   +5 more
doaj   +1 more source

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