Articles with "hand gesture" as a keyword



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An efficient method for human hand gesture detection and recognition using deep learning convolutional neural networks

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-020-04860-5

Abstract: The physical movement of the human hand produces gestures, and hand gesture recognition leads to the advancement in automated vehicle movement system. In this paper, the human hand gestures are detected and recognized using convolutional… read more here.

Keywords: image; hand gesture; human hand; recognition ... See more keywords

Feature covariance matrix-based dynamic hand gesture recognition

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Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3719-3

Abstract: AbstractOver the past 2 decades, vision-based dynamic hand gesture recognition (HGR) has made significant progresses and been widely adopted in many practical applications. Although the advent of RGB-D cameras and deep learning-based methods provides more feasible… read more here.

Keywords: dynamic hand; feature covariance; hand gesture; covariance matrix ... See more keywords
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The combination of visual communication cues in mixed reality remote collaboration

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Published in 2020 at "Journal on Multimodal User Interfaces"

DOI: 10.1007/s12193-020-00335-x

Abstract: Many researchers have studied various visual communication cues (e.g. pointer, sketch, and hand gesture) in Mixed Reality remote collaboration systems for real-world tasks. However, the effect of combining them has not been so well explored.… read more here.

Keywords: hand; visual communication; cue; hand gesture ... See more keywords
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Development of hand gesture recognition system using machine learning

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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-020-02314-2

Abstract: Human computer interaction (HCI) systems are increasing due to the demand for non-intrusive methods for communicating with machines. In this research article, vision based hand gesture recognition (HGR) System has been proposed using machine learning.… read more here.

Keywords: recognition; hand gesture; system; gesture recognition ... See more keywords
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Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room

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Published in 2020 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2020.105385

Abstract: BACKGROUND AND OBJECTIVE Hand gesture recognition systems in operating rooms (ORs) are crucial for browsing and controlling computer-aided devices, which have been developed to decrease the risk of contamination during surgical procedures. METHODS We proposed… read more here.

Keywords: network; hand gesture; gesture recognition; gesture ... See more keywords

Light invariant real-time robust hand gesture recognition

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Published in 2017 at "Optik"

DOI: 10.1016/j.ijleo.2017.11.158

Abstract: Computer vision has spread over different domains to facilitate difficult operations. It works as the artificial eye for many industrial applications to observe elements, process, automation and find defects. Vision-based systems can also be applied… read more here.

Keywords: hand; gesture recognition; hand gesture; intensity ... See more keywords

A multi-channel bioimpedance-based device for Vietnamese hand gesture recognition

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-83108-w

Abstract: This study addresses the growing importance of hand gesture recognition across diverse fields, such as industry, education, and healthcare, targeting the often-neglected needs of the deaf and dumb community. The primary objective is to improve… read more here.

Keywords: gesture recognition; bioimpedance based; hand; hand gesture ... See more keywords

L-SHADE optimized learning framework for sEMG hand gesture recognition

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-20076-9

Abstract: In recent years, Hand Gesture Recognition (HGR) devices have been designed to recognize gestures in real time using machine-learning classifiers (MLCs). However, the performance of these classifiers heavily relies on the tuning of their hyperparameters… read more here.

Keywords: framework; gesture; shade optimized; gesture recognition ... See more keywords

MyoPose: position-limb-robust neuromechanical features for enhanced hand gesture recognition in colocated sEMG-pFMG armbands

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Published in 2025 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/adf888

Abstract: Objective. Surface electromyography (sEMG) and pressure-based force myography (pFMG) are two complementary modalities adopted in hand gesture recognition due to their ability to capture muscle electrical and mechanical activity, respectively. While sEMG carries rich neural… read more here.

Keywords: recognition; gesture recognition; position; hand gesture ... See more keywords

WiCatch: A Wi-Fi Based Hand Gesture Recognition System

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2814575

Abstract: In recent years, a large number of researchers are endeavoring to develop wireless sensing and related applications as Wi-Fi devices become ubiquitous. As a significant research branch, gesture recognition has become one of the research… read more here.

Keywords: recognition system; gesture recognition; gesture; hand gesture ... See more keywords

FMCW Radar-Based Real-Time Hand Gesture Recognition System Capable of Out-of-Distribution Detection

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3200757

Abstract: Real-time hand gesture recognition plays a vital role in human-computer interaction (HCI). Recent radar-based hand gesture recognition methods have focused on achieving high classification accuracy using deep neural network (DNN)-based classifiers. However, the hand gesture… read more here.

Keywords: system; gesture recognition; hand; hand gesture ... See more keywords