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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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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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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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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Hand gesture segmentation in uncontrolled environments with partition matrix and a spotting scheme based on hidden conditional random field [PDF]
, 2013 Hand gesture segmentation is the task of interpreting and spotting meaningful hand gestures from continuous hand gesture sequences with non-sign transitional hand movements.
Yi Yao +3 more
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What Makes a Gesture a Gesture? Neural Signatures Involved in Gesture Recognition [PDF]
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017 Previous work in the area of gesture production, has made the assumption that machines can replicate "human-like" gestures by connecting a bounded set of salient points in the motion trajectory. Those inflection points were hypothesized to also display cognitive saliency. The purpose of this paper is to validate that claim using electroencephalography (
Maria Eugenia Cabrera +4 more
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Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System
SensorsHand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition.
Yuting Meng +3 more
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Hand Gesture Recognition Based on Active Ultrasonic Sensing of Smartphone: A Survey
IEEE Access, 2019 With the rapid development of Internet of Things, hand gesture recognition has drawn wide attention in the field of ubiquitous computing because it provides us with simple and natural human-computer interaction mode.
Zhengjie Wang +6 more
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Principal component analysis of photoplethysmography signals for improved gesture recognition
Frontiers in Neuroscience, 2022 In recent years, researchers have begun to introduce photoplethysmography (PPG) signal into the field of gesture recognition to achieve human-computer interaction on wearable device.
Yuwen Ruan +3 more
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Attention Based Residual Network for Micro-Gesture Recognition [PDF]
, 2018 Finger micro-gesture recognition is increasingly become an important part of human-computer interaction (HCI) in applications of augmented reality (AR) and virtual reality (VR) technologies.
Tong Chen +5 more
core +1 more source