Results 31 to 40 of about 394,964 (308)
An environment adaptive gesture recognition system based on visible light
物联网学报, 2023 Gesture-based human-machine interaction is becoming more and more important, which can provide users with a better experience in scenarios such as video games and virtual reality.In recent years, researchers have explored different sensing technologies ...
Zhu WANG +3 more
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Wi-NN: Human Gesture Recognition System Based on Weighted KNN
Applied Sciences, 2023 Gesture recognition, the basis of human–computer interaction (HCI), is a significant component for the development of smart home, VR, and senior care management.
Yajun Zhang +4 more
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Dynamic Gesture Recognition in the Internet of Things
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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Applied Sciences, 2023 A commonly used method of gesture recognition is the use of sensor technology. Typically, technology detecting Earth’s magnetic field is used in indoor positioning, and magnetic detection technology serves as a redundant method for gesture recognition ...
Bo Shi +4 more
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Towards soundpainting gesture recognition
Proceedings of the 9th Audio Mostly: A Conference on Interaction With Sound, 2014 In this article, we describe our recent research activities on gesture recognition for soundpainting applications. Soundpainting is a multidisciplinary live composing sign language for musicians, actors, dancers, and visual artists. These gestures are produced by a soundpainter, which plays the role of a conductor, in order to lead a live performance ...
Pellegrini, Thomas +4 more
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Gesture Recognition Portfolios for Personalization [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 Human gestures, similar to speech and handwriting, are often unique to the individual. Training a generic classifier applicable to everyone can be very difficult and as such, it has become a standard to use personalized classifiers in speech and handwriting recognition.
Yao, Angela +2 more
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Deep Learning for Intelligent Human–Computer Interaction
Applied Sciences, 2022 In recent years, gesture recognition and speech recognition, as important input methods in Human–Computer Interaction (HCI), have been widely used in the field of virtual reality.
Zhihan Lv +4 more
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Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism.
PLoS ONE, 2023 As a novel form of human machine interaction (HMI), hand gesture recognition (HGR) has garnered extensive attention and research. The majority of HGR studies are based on visual systems, inevitably encountering challenges such as depth and occlusion.
Jiawei Wu +5 more
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Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
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Gesture-Based Input for Drawing Schematics on a Mobile Device [PDF]
, 2011 We present a system for drawing metro map style schematics using a gesture-based interface. This work brings together techniques in gesture recognition on touch-sensitive devices with research in schematic layout of networks. The software allows users to
Chivers, Daniel, Rodgers, Peter
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