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Sawtooth-enhanced bend sensor for gesture recognition
Gesture recognition has diverse application prospects in the field of human-computer interaction. Recently, gesture recognition devices based on...
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HRC of intelligent assembly system based on multimodal gesture control
As a natural expression of the human body, gestures are widely used in robot control. However, most gesture control methods rely only on single-modal...
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High Dimensional Computing Approach to Detection and Learning Gesture Biometrics
Gesture data has emerged as a pivotal element in sha** the future of technology, influencing human-computer interaction. In this research paper, we...
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DeepHands: Dynamic hand gesture detection with depth estimation and 3D reconstruction from monocular RGB data
Human hand gestures are the most important tools for interacting with the real environment. Capturing hand motion is critical for a wide range of...
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Computer vision-based hand gesture recognition for human-robot interaction: a review
As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of...
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Computer Interactive Gesture Recognition Model Based on Improved YOLOv5 Algorithm
The expansion of virtual and augmented reality, intelligent assistance technology, and other fields has led to an increased demand for human–computer...
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Hand SOS Gesture Detection by Computer Vision
Computer vision has been applied widely in cybersecurity, specially for authentication purposes like iris or fingerprint recognition. Image...
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Convexity Defects-Based Fingertip Detection and Hand Gesture Recognition
Vision-based hand gesture recognition is perhaps the most widely used technique for human–computer interaction technology with special application...
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Wavelet-Based Gesture Recognition Method for Human-Machine Interaction in Aviation
Human-machine interaction (HMI) has been an important research area in many scientific fields for many years with the development of sensor...
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Out-of-Distribution Detection in Hand Gesture Recognition Using Image Augmentation
Hand gesture recognition (HGR) is important for creating easy-to-use interfaces that utilize natural human communication and manipulation techniques....
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A New Activation Function with LSA for LNNA Based Hand Gesture Detection and its Application in Human-MAV Interaction
This paper presents a lightweight convolutional neural network architecture based hand gesture recognition for micro aerial vehicle (MAV)...
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Blsnet: a tri-branch lightweight network for gesture segmentation against cluttered backgrounds
Hand gesture segmentation is an essential step to recognize hand gestures for human–robot interaction. However, complex backgrounds and the variety...
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Multi-modal fusion for robust hand gesture recognition based on heterogeneous networks
Hand gesture recognition has become a vital subject in the fields of human-computer interaction and rehabilitation assessment. This paper presents a...
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Hand Detection by Two-Level Segmentation with Double-Tracking and Gesture Recognition Using Deep-Features
Vision-based hand gesture recognition involves a visual analysis of handshape, position and/or movement. Most of the previous approaches require...
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Gesture Detection Using Accelerometer and Gyroscope
Human hand gestures are a widely used real-time input modality for technologies that provide a human–machine interface. Computers mathematically...
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A study on hand gesture recognition algorithm realized with the aid of efficient feature extraction method and convolution neural networks: design and its application to VR environment
Humans maintain and develop interrelationships through various forms of communication, including verbal and nonverbal communications. Gestures, which...
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Attention-based hand semantic segmentation and gesture recognition using deep networks
The ability to discern the shape of hands can be a vital issue in improving the performance of hand gesture recognition for human–computer...
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Interactive method research of dual mode information coordination integration for astronaut gesture and eye movement signals based on hybrid model
The lightweight human-robot interaction model with high real-time, high accuracy, and strong anti-interference capability can be better applied to...
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Dynamic time war**–based feature selection method for foot gesture cobot operation mode selection
The emerging needs of human beings are pushing manufacturing companies from mass production to mass customization. The occurrence of these new...
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Flexible gesture input with radars: systematic literature review and taxonomy of radar sensing integration in ambient intelligence environments
We examine radar-based gesture input for interactive computer systems, a technology that has recently grown in terms of commercial availability,...
