Dynamic Gesture Recognition Using Surface EMG Signals Based on Multi-Stream Residual Network [PDF]
Frontiers in Bioengineering and Biotechnology, 2021 Gesture recognition technology is widely used in the flexible and precise control of manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform dynamic gesture recognition.
Zhiwen Yang +25 more
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Dynamic Gesture Recognition in the Internet of Things [PDF]
IEEE Access, 2019 Gesture recognition based on computer vision has gradually become a hot research direction in the field of human-computer interaction. The field of human-computer interaction is an important direction in the Internet of Things (IoTs) technology.
Gongfa Li +4 more
doaj +5 more sources
Dynamic Gesture Recognition Model Based on Millimeter-Wave Radar With ResNet-18 and LSTM [PDF]
Frontiers in Neurorobotics, 2022 In this article, a multi-layer convolutional neural network (ResNet-18) and Long Short-Term Memory Networks (LSTM) model is proposed for dynamic gesture recognition.
Yongqiang Zhang +5 more
doaj +2 more sources
Lightweight Visual Dynamic Gesture Recognition System Based on CNN-LSTM-DSA [PDF]
SensorsAddressing 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
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Dynamic Gesture Recognition with a Terahertz Radar Based on Range Profile Sequences and Doppler Signatures [PDF]
Sensors, 2017 The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system.
Zhi Zhou, Zongjie Cao, Yiming Pi
doaj +2 more sources
Dynamic gesture recognition based on 2D convolutional neural network and feature fusion [PDF]
Scientific Reports, 2022 Gesture recognition is one of the most popular techniques in the field of computer vision today. In recent years, many algorithms for gesture recognition have been proposed, but most of them do not have a good balance between recognition efficiency and ...
Jimin Yu, Maowei Qin, Shangbo Zhou
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Review of dynamic gesture recognition
Virtual Reality & Intelligent Hardware, 2021 In recent years, gesture recognition has been widely used in the fields of intelligent driving, virtual reality, and human-computer interaction. With the development of artificial intelligence, deep learning has achieved remarkable success in computer ...
Yuanyuan SHI +4 more
doaj +3 more sources
Deep Learning Based Real-Time Recognition of Dynamic Finger Gestures Using a Data Glove
IEEE Access, 2020 In this article, a real-time dynamic finger gesture recognition using a soft sensor embedded data glove is presented, which measures the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint angles of five fingers. In the gesture recognition
Minhyuk Lee, Joonbum Bae
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Dynamic Gesture Recognition System with Gesture Spotting Based on Self-Organizing Maps
Applied 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 +2 more sources
Combined Hand Gesture — Speech Model for Human Action Recognition
Sensors, 2013 This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate.
Sheng-Tzong Cheng +2 more
doaj +2 more sources