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Action Recognition in Manufacturing Assembly using Multimodal Sensor Fusion

https://doi.org/10.1016/j.promfg.2020.01.288
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-39907-2_61openalex-snapshot
smARt.Assembly – Projection-Based Augmented Reality for Supporting Assembly Workers
inferredcites →https://doi.org/10.1007/978-3-540-30115-8_7openalex-snapshot
Applying Support Vector Machines to Imbalanced Datasets
inferredcites →https://doi.org/10.1007/978-3-642-14715-9_5openalex-snapshot
Human Activity Recognition Using Inertial/Magnetic Sensor Units
inferredcites →https://doi.org/10.1007/s00500-012-0896-3openalex-snapshot
Human activity recognition based on a sensor weighting hierarchical classifier
inferredcites →https://doi.org/10.1007/s11042-015-3177-1openalex-snapshot
A survey of depth and inertial sensor fusion for human action recognition
inferredcites →https://doi.org/10.1016/j.jvcir.2013.04.007openalex-snapshot
Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition
inferredcites →https://doi.org/10.1016/j.patcog.2007.11.016openalex-snapshot
Gesture spotting with body-worn inertial sensors to detect user activities
inferredcites →https://doi.org/10.1016/j.patcog.2014.10.012openalex-snapshot
Similar gait action recognition using an inertial sensor
inferredcites →https://doi.org/10.1016/j.patcog.2016.05.019openalex-snapshot
RGB-D-based action recognition datasets: A survey
inferredcites →https://doi.org/10.1016/j.promfg.2018.07.152openalex-snapshot
Worker Activity Recognition in Smart Manufacturing Using IMU and sEMG Signals with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cpsna.2015.17openalex-snapshot
Agile Factory - An Example of an Industry 4.0 Manufacturing Process
inferredcites →https://doi.org/10.1109/ie.2012.39openalex-snapshot
Simple and Complex Activity Recognition through Smart Phones
inferredcites →https://doi.org/10.1109/issnip.2007.4496857openalex-snapshot
Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness
inferredcites →https://doi.org/10.1109/iswc.2006.286350openalex-snapshot
Combining Motion Sensors and Ultrasonic Hands Tracking for Continuous Activity Recognition in a Maintenance Scenario
inferredcites →https://doi.org/10.1109/jbhi.2012.2235075openalex-snapshot
Child Activity Recognition Based on Cooperative Fusion Model of a Triaxial Accelerometer and a Barometric Pressure Sensor
inferredcites →https://doi.org/10.1109/jsen.2016.2545708openalex-snapshot
A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone
inferredcites →https://doi.org/10.1109/mprv.2008.40openalex-snapshot
Wearable Activity Tracking in Car Manufacturing
inferredcites →https://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/thms.2014.2325871openalex-snapshot
Human Action Recognition With Video Data: Research and Evaluation Challenges
inferredcites →https://doi.org/10.1109/thms.2014.2377111openalex-snapshot
Human Activity Recognition Process Using 3-D Posture Data
inferredcites →https://doi.org/10.1109/thms.2018.2884717openalex-snapshot
A Multisensor Multiclassifier Hierarchical Fusion Model Based on Entropy Weight for Human Activity Recognition Using Wearable Inertial Sensors
inferredcites →https://doi.org/10.1109/tpami.2006.197openalex-snapshot
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
inferredcites →https://doi.org/10.1109/tsmca.2010.2093883openalex-snapshot
Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living
inferredcites →https://doi.org/10.1142/s0219519412500844openalex-snapshot
HUMAN ACTIVITY RECOGNITION BY FUSING MULTIPLE SENSOR NODES IN THE WEARABLE SENSOR SYSTEMS
inferredcites →https://doi.org/10.3390/s151229858openalex-snapshot
Physical Human Activity Recognition Using Wearable Sensors
inferredcites →https://doi.org/10.5281/zenodo.820997openalex-snapshot
Industrial Challenges In Human-Centred Production

What points at this work

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

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Automatic Action Recognition Algorithm with Missing Object Information for Monitoring and Evaluating Industrial Bimanual Actions
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Skeleton-Based Action and Gesture Recognition for Human-Robot Collaboration
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A Multimodal Dataset to Create Manufacturing Digital Twins
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Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line
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Automating Task Monitoring in Industrial Settings Using Combined Gesture Recognition and Object Detection
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Analysis of Human Action Variability for Reconfiguring Tooling Systems
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Time-Domain Analysis of Human Motion for Reconfiguring Machine Tools
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Korrelationsbasierte Erkennung von Montagereihenfolgen mittels 6 DoF-Zeitreihendaten zur Prozessdiagrammerstellung
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DWMF: A Method for Hybrid Multimodal Intent Fusion Based on Dynamic Weights
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An individualized system of skeletal data-based CNN classifiers for action recognition in manufacturing assembly
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inferred← citeshttps://doi.org/10.1016/j.jmsy.2023.08.020openalex-snapshot
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Biofeedback for human-robot interaction in the context of collaborative assembly
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Automatic Generation of Assembly Instructions by Analyzing Process Recordings – A Concept Overview
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Human Action Sequence Prediction for (Re)configuring Machine Tools
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Deep Reinforcement Learning in Human Activity Recognition: A Survey
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Reconnaissance d’actions humaines par apprentissage profond et génération de données étiquetées basées sur le jumeau numérique de poste cobotique industriel.
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