Results 31 to 40 of about 6,209 (155)
Research on Gesture Recognition Method Based on Computer Vision
MATEC Web of Conferences, 2018 Gesture recognition is an important way of human-computer interaction. With time going on, people are no longer satisfied with gesture recognition based on wearable devices, but hope to perform gesture recognition in a more natural way.
Wang Xianghan +4 more
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HandFormer: A Dynamic Hand Gesture Recognition Method Based on Attention Mechanism
Applied Sciences, 2023 The application of dynamic gestures is extensive in the field of automated intelligent manufacturing. Due to the temporal and spatial complexity of dynamic gesture data, traditional machine learning algorithms struggle to extract accurate gesture ...
Yun Zhang, Fengping Wang
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Dynamic Hand Gesture Recognition Using the Skeleton of the Hand [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 This paper discusses the use of the computer vision in the interpretation of human gestures. Hand gestures would be an intuitive and ideal way of exchanging information with other people in a virtual space, guiding some robots to perform certain tasks in a hostile environment, or interacting with computers.
Ionescu, Bogdan +3 more
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Review of Vision-based Neural Network 3D Dynamic Gesture Recognition Methods [PDF]
Jisuanji kexueDynamic gesture recognition,as an important means of human-computer interaction,has received widespread attention.Among them,the visual-based recognition method has become the preferred choice for the new generation of human-computer interaction due to ...
WANG Ruiping, WU Shihong, ZHANG Meihang, WANG Xiaoping
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Multi-modal gesture recognition with voting-based dynamic time warping
International Journal of Advanced Robotic Systems, 2019 Gesture recognition has remained a challenging problem in the fields of human robot interaction. With the development of depth sensors such as Kinect, different modalities become available for gesture recognition while its advantages have not been fully ...
Yiqun Kuang +4 more
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A Transformer-Based Network for Dynamic Hand Gesture Recognition [PDF]
2020 International Conference on 3D Vision (3DV), 2020 Transformer-based neural networks represent a successful self-attention mechanism that achieves state-of-the-art results in language understanding and sequence modeling. However, their application to visual data and, in particular, to the dynamic hand gesture recognition task has not yet been deeply investigated. In this paper, we propose a transformer-
Andrea D’Eusanio +5 more
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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 Pathway into Metaverse: Gesture Recognition Enabled by Wearable Resistive Sensors
Advanced Sensor Research, 2023 Hand gesture recognition is of great importance for human–Metaverse interaction. The human hand is relatively smaller, with very complex articulations than the entire human body.
Shengshun Duan +6 more
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Vietnam Journal of Computer Science, 2023 Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le +8 more
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Sensors, 2020 Dynamic hand gesture recognition is one of the most significant tools for human–computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...
Linchu Yang, Ji’an Chen, Weihang Zhu
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