Fernando Moya Rueda

According to our database, Fernando Moya Rueda authored at least 23 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Logistic Activity Recognition Challenge (LARa Version 03) - A Motion Capture and Inertial Measurement Dataset.

Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Nilah Ravi Nair, Philipp Oberdiek, Hülya Bas, Raphael Spiekermann, Erik Altermann, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel

Dataset, August, 2023

Transfer learning for multi-channel time-series Human Activity Recognition

Fernando Moya Rueda

PhD thesis, 2023

Dataset Bias in Human Activity Recognition.

Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining

CoRR, 2023

A Tutorial on Dataset Creation for Sensor-based Human Activity Recognition.

Christopher Reining, Nilah Ravi Nair, Friedrich Niemann, Fernando Moya Rueda, Gernot A. Fink

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Miss-placement Prediction of Multiple On-body Devices for Human Activity Recognition.

Robin Dönnebrink, Fernando Moya Rueda, Rene Grzeszick, Maximilian Stach

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

2022

Logistic Activity Recognition Challenge (LARa Version 02) - A Motion Capture and Inertial Measurement Dataset.

Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Hülya Bas, Erik Altermann, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel

Dataset, February, 2022

Retrieval-based Annotation of Multi-channel Time-Series Data for HAR.

Erik Altermann, Fernando Moya Rueda, Eugen Rusakov, Gernot A. Fink

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Multi-Channel Time-Series Person and Soft-Biometric Identification.

Nilah Ravi Nair, Fernando Moya Rueda, Christopher Reining, Gernot A. Fink

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition.

Shrutarv Awasthi, Fernando Moya Rueda, Gernot A. Fink

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Human Activity Recognition using Attribute-Based Neural Networks and Context Information.

Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed, Gernot A. Fink, Thomas Kirste

CoRR, 2021

Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset.

Hülya Avsar, Erik Altermann, Christopher Reining, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

2020

Logistic Activity Recognition Challenge (LARa Version 01) - A Motion Capture and Inertial Measurement Dataset.

Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Erik Altermann, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel

Dataset, May, 2020

LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes.

Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel

Sensors, 2020

Annotation Performance for multi-channel time series HAR Dataset in Logistics.

Christopher Reining, Fernando Moya Rueda, Friedrich Niemann, Gernot A. Fink, Michael ten Hompel

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

From Human Pose to On-Body Devices for Human-Activity Recognition.

Fernando Moya Rueda, Gernot A. Fink

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Human Activity Recognition for Production and Logistics - A Systematic Literature Review.

Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel

Inf., 2019

Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition.

Fernando Moya Rueda, Stefan Lüdtke, Max Schröder, Kristina Y. Yordanova, Thomas Kirste, Gernot A. Fink

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

2018

Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors.

Fernando Moya Rueda, René Grzeszick, Gernot A. Fink, Sascha Feldhorst, Michael ten Hompel

Informatics, 2018

Attribute Representation for Human Activity Recognition of Manual Order Picking Activities.

Christopher Reining, Michelle Schlangen, Leon Hissmann, Michael ten Hompel, Fernando Moya Rueda, Gernot A. Fink

Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018

Learning Attribute Representation for Human Activity Recognition.

Fernando Moya Rueda, Gernot A. Fink

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Towards a Framework for Semi-Automated Annotation of Human Order Picking Activities Using Motion Capturing.

Christopher Reining, Fernando Moya Rueda, Michael ten Hompel, Gernot A. Fink

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Deep Neural Network based Human Activity Recognition for the Order Picking Process.

Rene Grzeszick, Jan Marius Lenk, Fernando Moya Rueda, Gernot A. Fink, Sascha Feldhorst, Michael ten Hompel

Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction, 2017

Neuron Pruning for Compressing Deep Networks Using Maxout Architectures.

Fernando Moya Rueda, Rene Grzeszick, Gernot A. Fink

Proceedings of the Pattern Recognition - 39th German Conference, 2017