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A Real-Time Hand Posture Recognition System Using Deep Neural Networks

https://doi.org/10.1145/2735952
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Hand gesture recognition using Kinect
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Circular fuzzy neural network based hand gesture and posture modeling
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Real-Time Hand Posture Recognition Using Haar-Like and Topological Feature
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Threshold based segmentation using median filter for sign language recognition system
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Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
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3D Convolutional Neural Networks for Human Action Recognition
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Combining RGB and ToF cameras for real-time 3D hand gesture interaction
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Using Kinect for face recognition under varying poses, expressions, illumination and disguise
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A Real Time System For Dynamic Hand Gesture Recognition With A Depth Sensor

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Integrated Real-Time Hand Gesture Recognition Framework for Human–Robot Interaction in Agriculture
inferred← citeshttps://doi.org/10.3390/biomimetics10070431openalex-snapshot
An Interactive Human-in-the-Loop Framework for Skeleton-Based Posture Recognition in Model Education
inferred← citeshttps://doi.org/10.3390/computers13020037openalex-snapshot
Improved Recognition of Kurdish Sign Language Using Modified CNN
inferred← citeshttps://doi.org/10.3390/fi11100209openalex-snapshot
Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices
inferred← citeshttps://doi.org/10.3390/jimaging11050134openalex-snapshot
Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets
inferred← citeshttps://doi.org/10.3390/s150923303openalex-snapshot
A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors
inferred← citeshttps://doi.org/10.3390/s20195621openalex-snapshot
Recognition of Non-Manual Content in Continuous Japanese Sign Language
inferred← citeshttps://doi.org/10.3390/s21041120openalex-snapshot
An Attention-Enhanced Multi-Scale and Dual Sign Language Recognition Network Based on a Graph Convolution Network
inferred← citeshttps://doi.org/10.3390/s24092702openalex-snapshot
Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals
inferred← citeshttps://doi.org/10.3934/math.2026156openalex-snapshot
Mathematical and computational perspectives on next-generation neural networks for sign language recognition: A systematic review of advances, challenges, and assistive applications
inferred← citeshttps://doi.org/10.4018/978-1-7998-0414-7.ch032openalex-snapshot
Multi-Sensor Motion Fusion Using Deep Neural Network Learning
inferred← citeshttps://doi.org/10.4018/978-1-7998-9764-4.ch027openalex-snapshot
A Comprehensive Study on Gesture Detection
inferred← citeshttps://doi.org/10.4018/979-8-3693-2426-4.ch006openalex-snapshot
Applications of AI and Deep Learning in Biomedicine and Healthcare
inferred← citeshttps://doi.org/10.4018/ijmdem.2017100101openalex-snapshot
Multi-Sensor Motion Fusion Using Deep Neural Network Learning
inferred← citeshttps://doi.org/10.47749/t/unicamp.2020.1149269openalex-snapshot
Partitioning convolutional neural networks for inference on constrained Internet-of-things devices
inferred← citeshttps://doi.org/10.48550/arxiv.2001.01033openalex-snapshot
Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping
inferred← citeshttps://doi.org/10.53730/ijhs.v6ns5.12112openalex-snapshot
Deep transfer learning base on sequenced edge grid image technique for sign language recognition
inferred← citeshttps://doi.org/10.5762/kais.2019.20.11.305openalex-snapshot
A Study on the Applicability of Deep Learning Algorithm for Detection and Resolving of Occlusion Area
inferred← citeshttps://doi.org/10.5829/ije.2020.33.04a.06openalex-snapshot
Estimation of Hand Skeletal Postures by Using Deep Convolutional Neural Networks
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