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Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras

https://doi.org/10.3390/s19010059

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What this work says

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

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Multi-Class SVM Classifier Based on Pairwise Coupling

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Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot

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A Deep Learning Approach for Hand Posture Recognition from Depth Data

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Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM

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Comparing Free Hand Menu Techniques for Distant Displays Using Linear, Marking and Finger-Count Menus

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Practical Recommendations for Gradient-Based Training of Deep Architectures

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Hand Gesture Recognition Using Time-of-Flight Camera and Viewpoint Feature Histogram

inferredcites →https://doi.org/10.1007/978-981-13-2384-3_52openalex-snapshot

Dynamic Hand Gesture Recognition Based on the Three-Dimensional Spatial Trajectory Feature and Hidden Markov Model

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Improved pairwise coupling classification with correcting classifiers

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A fuzzy particle swarm optimization algorithm for computer communication network topology design

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Context-based hand gesture recognition for the operating room

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Recognition of dynamic hand gestures

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On the Learnability and Design of Output Codes for Multiclass Problems

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Learning to forget: continual prediction with LSTM

inferredcites →https://doi.org/10.1080/23080477.2017.1402537openalex-snapshot

Vision-based Hand Recognition Based on ToF Depth Camera

inferredcites →https://doi.org/10.1088/1757-899x/99/1/012012openalex-snapshot

An Overview of Hand Gestures Recognition System Techniques

inferredcites →https://doi.org/10.1109/cinti.2014.7028683openalex-snapshot

Time-of-flight based multi-sensor fusion strategies for hand gesture recognition

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A Method for Hand Gesture Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.456openalex-snapshot

Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00549openalex-snapshot

Gesture Recognition: Focus on the Hands

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3-D gesture-based scene navigation in medical imaging applications using Time-of-Flight cameras

inferredcites →https://doi.org/10.1109/cvprw.2016.100openalex-snapshot

ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition

inferredcites →https://doi.org/10.1109/dicta.2016.7797030openalex-snapshot

Deep Learning-Based Fast Hand Gesture Recognition Using Representative Frames

inferredcites →https://doi.org/10.1109/have.2012.6374441openalex-snapshot

A robust method of detecting hand gestures using depth sensors

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A time-of-flight-based hand posture database for human-machine interaction

inferredcites →https://doi.org/10.1109/icbnmt.2013.6823916openalex-snapshot

Hand gesture recognition: An overview

inferredcites →https://doi.org/10.1109/iccnc.2016.7440589openalex-snapshot

Touchless interaction for future mobile applications

inferredcites →https://doi.org/10.1109/icics.2011.6173545openalex-snapshot

Depth camera based hand gesture recognition and its applications in Human-Computer-Interaction

inferredcites →https://doi.org/10.1109/icinfa.2015.7279341openalex-snapshot

Gesture-based human-machine interaction for assistance systems

inferredcites →https://doi.org/10.1109/iconsip.2016.7857476openalex-snapshot

Dynamic hand gesture recognition

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A large-scale hierarchical multi-view RGB-D object dataset

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Aligning point cloud views using persistent feature histograms

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Fast 3D recognition and pose using the Viewpoint Feature Histogram

inferredcites →https://doi.org/10.1109/itsc.2014.6958109openalex-snapshot

A real-time applicable 3D gesture recognition system for automobile HMI

inferredcites →https://doi.org/10.1109/itsc.2015.381openalex-snapshot

A Real-Time Applicable Dynamic Hand Gesture Recognition Framework

inferredcites →https://doi.org/10.1109/itsc.2016.7795624openalex-snapshot

Touch versus mid-air gesture interfaces in road scenarios - measuring driver performance degradation

inferredcites →https://doi.org/10.1109/itsc.2017.8317684openalex-snapshot

Free-hand gesture recognition with 3D-CNNs for in-car infotainment control in real-time

inferredcites →https://doi.org/10.1109/ivs.2015.7225708openalex-snapshot

A light-weight real-time applicable hand gesture recognition system for automotive applications

inferredcites →https://doi.org/10.1109/robio.2011.6181760openalex-snapshot

Ensemble of shape functions for 3D object classification

inferredcites →https://doi.org/10.1109/roman.2012.6343787openalex-snapshot

Hand gesture recognition with depth images: A review

inferredcites →https://doi.org/10.1109/tmm.2018.2808769openalex-snapshot

EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition

inferredcites →https://doi.org/10.1109/tnsre.2019.2896269openalex-snapshot

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

inferredcites →https://doi.org/10.1109/tpami.2002.1023803openalex-snapshot

Extraction of 2D motion trajectories and its application to hand gesture recognition

inferredcites →https://doi.org/10.1109/tpami.2008.167openalex-snapshot

Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection

inferredcites →https://doi.org/10.1109/tpami.2008.203openalex-snapshot

A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation

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Support vector machine learning for interdependent and structured output spaces

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Viewpoint: Intuitive equals familiar

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Combining multiple depth cameras and projectors for interactions on, above and between surfaces

inferredcites →https://doi.org/10.1145/1897816.1897838openalex-snapshot

Vision-based hand-gesture applications

inferredcites →https://doi.org/10.1145/1978942.1979436openalex-snapshot

Exploring the potential for touchless interaction in image-guided interventional radiology

inferredcites →https://doi.org/10.1145/2994374.2994392openalex-snapshot

A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data

inferredcites →https://doi.org/10.1198/016214504000000098openalex-snapshot

Multicategory Support Vector Machines

inferredcites →https://doi.org/10.1198/106186005x25619openalex-snapshot

Kernel Logistic Regression and the Import Vector Machine

inferredcites →https://doi.org/10.1214/aos/1028144844openalex-snapshot

Classification by pairwise coupling

inferredcites →https://doi.org/10.1504/ijista.2008.021296openalex-snapshot

Gesture recognition with a Time-Of-Flight camera

inferredcites →https://doi.org/10.1524/9783110344509openalex-snapshot

Usability für die betriebliche Praxis

inferredcites →https://doi.org/10.1524/9783486853483openalex-snapshot

Mensch & Computer 2010

inferredcites →https://doi.org/10.2498/cit.2006.04.03openalex-snapshot

Dendogram-based SVM for Multi-Class Classification

inferredcites →https://doi.org/10.48550/arxiv.1601.01157openalex-snapshot

A simple technique for improving multi-class classification with neural networks

inferredcites →https://doi.org/10.5281/zenodo.52481openalex-snapshot

A Real Time System For Dynamic Hand Gesture Recognition With A Depth Sensor

inferredcites →https://doi.org/10.5555/1005332.1005336openalex-snapshot

In Defense of One-Vs-All Classification

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Neural Learning Methods for Human-Computer Interaction

inferredcites →https://doi.org/10.7551/mitpress/1130.003.0020openalex-snapshot

Pairwise Classification and Support Vector Machines

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