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
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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 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
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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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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 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
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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
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Dynamic Hand Gesture Recognition Using Electrical Impedance Tomography
Sensors, 2022 Electrical impedance tomography (EIT) has been applied in the field of human-computer interaction due to its advantages including the fact that it is non-invasive and has both low power consumption and a low cost.
Xiuyan Li +6 more
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Approach for Improving User Interface Based on Gesture Recognition [PDF]
E3S 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
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MEMS Devices-Based Hand Gesture Recognition via Wearable Computing
Micromachines, 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
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