Fernando Moya Rueda

Orcid: 0000-0001-8115-5968

According to our database1, Fernando Moya Rueda authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Augmentation of Human Activity Data: Convert, Generate, Transform.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Anonymisation for Time-Series Human Activity Data.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Logistic Activity Recognition Challenge (LARa Version 03) - A Motion Capture and Inertial Measurement Dataset.
Dataset, August, 2023

Transfer learning for multi-channel time-series Human Activity Recognition
PhD thesis, 2023

Dataset Bias in Human Activity Recognition.
CoRR, 2023

A Tutorial on Dataset Creation for Sensor-based Human Activity Recognition.
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.
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.
Dataset, February, 2022

Retrieval-based Annotation of Multi-channel Time-Series Data for HAR.
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.
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.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Human Activity Recognition using Attribute-Based Neural Networks and Context Information.
CoRR, 2021

Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset.
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.
Dataset, May, 2020

LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes.
Sensors, 2020

Annotation Performance for multi-channel time series HAR Dataset in Logistics.
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.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Human Activity Recognition for Production and Logistics - A Systematic Literature Review.
Inf., 2019

Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition.
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.
Informatics, 2018

Attribute Representation for Human Activity Recognition of Manual Order Picking Activities.
Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018

Learning Attribute Representation for Human Activity Recognition.
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.
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.
Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction, 2017

Neuron Pruning for Compressing Deep Networks Using Maxout Architectures.
Proceedings of the Pattern Recognition - 39th German Conference, 2017


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