UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition [PDF]
, 2019 Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces.
A Robicquet +6 more
core +2 more sources
Personalizing gesture recognition using hierarchical bayesian neural networks [PDF]
, 2017 Building robust classifiers trained on data susceptible to group or subject-specific variations is a challenging pattern recognition problem. We develop hierarchical Bayesian neural networks to capture subject-specific variations and share statistical ...
Betke, Margrit +4 more
core +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
Separating gesture detection and application control concerns with a multimodal architecture [PDF]
, 2015 Comunicação apresentada na conferência internacional - CIT 2015, realizada de 26-28 de outubro de 2015Gesture-controlled applications typically are tied to specific gestures, and also tied to specific recognition methods and specific gesture-detection ...
Barbosa, Luís +8 more
core +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +2 more sources