Results 11 to 20 of about 8,003 (296)

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, Hao Wu, Guozhang Jiang, Shuang Xu, Honghai Liu   +4 more
doaj   +4 more sources

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, Zhiwen Yang, Du Jiang, Du Jiang, Du Jiang, Ying Sun, Ying Sun, Ying Sun, Bo Tao, Bo Tao, Bo Tao, Xiliang Tong, Xiliang Tong, Guozhang Jiang, Guozhang Jiang, Manman Xu, Manman Xu, Manman Xu, Juntong Yun, Juntong Yun, Ying Liu, Ying Liu, Baojia Chen, Jianyi Kong, Jianyi Kong, Jianyi Kong   +25 more
doaj   +4 more sources

Dynamic Gesture Recognition Algorithm Combining Global Gesture Motion and Local Finger Motion for Interactive Teaching

IEEE Access
Adding dynamic gesture recognition to the new interactive teaching system is of great significance to improve the teaching efficiency. However, the features extracted by traditional dynamic gesture recognition methods are usually difficult to accurately ...
Li Jiashan, Li Zhonghua
doaj   +4 more sources

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, Yuta Ichikawa, Hidetaka Ito, Yutaka Maeda   +3 more
doaj   +4 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, Yongqiang Zhang, Lixin Peng, Guilei Ma, Menghua Man, Shanghe Liu   +5 more
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
doaj   +2 more sources

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

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

Sensors
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, Ziyan Wu, Ruidi Qi, Xuan Dou   +3 more
doaj   +2 more sources

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, Yunan LI, Xiaolong FU, M.I.A.O. Kaibin, M.I.A.O. Qiguang   +4 more
doaj   +2 more sources

Gesture and Action Recognition by Evolved Dynamic Subgestures [PDF]

Procedings of the British Machine Vision Conference 2015, 2015
This paper introduces a framework for gesture and action recognition based on the evolution of temporal gesture primitives, or subgestures. Our work is inspired on the principle of producing genetic variations within a population of gesture subsequences, with the goal of obtaining a set of gesture units that enhance the generalization capability of ...
Víctor Ponce-López, Hugo Jair Escalante, Sergio Escalera, Xavier Baró   +3 more
openaire   +4 more sources