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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RECOGNITION OF DYNAMIC LITHUANIAN LANGUAGE GESTURES
Mokslas - Lietuvos ateitis, 2023 This paper proposes a method for automated Lithuanian hands gestures data collection and for Lithuanian hands gestures classification. The dataset of 1100 samples was collected for 10 different classes of Lithuanian hands gesture. The features of hands gestures were extracted with CNN network. The classification was made with LSTM network.
Karmonas, Arnas, Katkevičius, Andrius
openaire +2 more sources
Robust Hand Gesture Recognition Based on RGB-D Data for Natural Human–Computer Interaction
IEEE Access, 2022 To naturally interact with virtual environment by hand gesture, this paper presents a robust RGB-D data based recognition method of static and dynamic hand gesture.
Jun Xu +3 more
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Micro-motion Hand Gesture Recognition Method Based on Improved Multiple Dimensional Convolution Neural Network [PDF]
Jisuanji gongcheng, 2018 For the traditional Two Dimensional Convolutional Neural Network(2D-CNN),the time dimension information is lost,and thus the dynamic gesture cannot be recognized.This paper proposes a novel dynamic hand gesture recognition method based on video streams ...
LI Lingxia,WANG Yu,WU Jinjun,WANG Shasha
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Deep Learning Based Real-Time Recognition of Dynamic Finger Gestures Using a Data Glove
IEEE Access, 2020 In this article, a real-time dynamic finger gesture recognition using a soft sensor embedded data glove is presented, which measures the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint angles of five fingers. In the gesture recognition
Minhyuk Lee, Joonbum Bae
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Real time hand gesture recognition including hand segmentation and tracking [PDF]
, 2006 In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling ...
Sutherland, Alistair +7 more
core +2 more sources
Generating 3D product design models in real-time using hand motion and gesture [PDF]
, 2010 This thesis was submitted for the degree of Master of Philosophy and awarded by Brunel University.Three dimensional product design models are widely used in conceptual design and in the early stage of prototyping during the design processes.
Orphanides, Stephan
core +7 more sources
Combined Hand Gesture — Speech Model for Human Action Recognition
Sensors, 2013 This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate.
Sheng-Tzong Cheng +2 more
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Skeleton-Based Dynamic Hand Gesture Recognition Using an Enhanced Network with One-Shot Learning
Applied Sciences, 2020 Dynamic hand gesture recognition based on one-shot learning requires full assimilation of the motion features from a few annotated data. However, how to effectively extract the spatio-temporal features of the hand gestures remains a challenging issue ...
Chunyong Ma +4 more
doaj +1 more source
3D Gesture Recognition and Adaptation for Human–Robot Interaction
IEEE Access, 2022 Gesture-based human-robot interaction has been an important area of research in recent years. The primary aspect for the researchers has always been to create a gesture detection system that is insensitive to lighting and backdrop surroundings.
Jubayer Al Mahmud +5 more
doaj +1 more source