Results 21 to 30 of about 8,003 (296)
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
doaj +2 more sources
Dynamic gesture recognition based on feature fusion network and variant ConvLSTM
IET Image Processing, 2020 Gesture is a natural form of human communication, and it is of great significance in human–computer interaction. In the dynamic gesture recognition method based on deep learning, the key is to obtain comprehensive gesture feature information.
Yuqing Peng +4 more
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A comparison of Arabic sign language dynamic gesture recognition models. [PDF]
Heliyon, 2020 Almasre MA, Al-Nuaim H.
europepmc +2 more sources
Real-Time Dynamic Gesture Recognition Method Based on Gaze Guidance
IEEE AccessThe application of gesture recognition technology in human-computer interaction fields is widespread. However, issues such as the size of the model parameter space and the occurrence of false positives in real-world interactive scenarios persist.
Binbin Zhang, Weiqing Li, Zhiyong Su
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Dynamic Hypergraph Convolutional Networks for Hand Motion Gesture Sequence Recognition
TechnologiesThis paper introduces a novel approach to hand motion gesture recognition by integrating the Fourier transform with hypergraph convolutional networks (HGCNs).
Dong-Xing Jing +4 more
doaj +2 more sources
CoRR, 2021 The Human-Machine Interaction (HMI) research field is an important topic in machine learning that has been deeply investigated thanks to the rise of computing power in the last years. The first time, it is possible to use machine learning to classify images and/or videos instead of the traditional computer vision algorithms. The aim of this paper is to
Jonas Bokstaller, Costanza Maria Improta
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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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IEEE Access, 2022 To solve the problem of the low recognition rate of continuous dynamic gestures in Chinese sign language, a non-invasive end-to-end continuous dynamic gesture recognition system combining Inertial Measurement Unit (IMU) signal and surface ...
Jinquan Li +3 more
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Robust Hand Gesture Recognition Based on RGB-D Data for Natural Human–Computer Interaction
IEEE Access, 2022 To naturally interact with virtual environment by hand gesture, this paper presents a robust RGB-D data based recognition method of static and dynamic hand gesture.
Jun Xu +3 more
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