Nilah Ravi Nair

According to our database, Nilah Ravi Nair authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

Retrieval-Based Annotation for Multi-Channel Time Series Data of Human Activities.

Fernando Moya Rueda, Nilah Ravi Nair, Raphael Spiekermann, Erik Altermann, Philipp Oberdiek, Christopher Reining, Gernot A. Fink

Proceedings of the Annotation of Real-World Data for Artificial Intelligence Systems, 2025

Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices.

Friedrich Niemann, Fernando Moya Rueda, Moh'd Khier Al Kfari, Nilah Ravi Nair, Stefan Lüdtke, Alice Kirchheim

Proceedings of the Annotation of Real-World Data for Artificial Intelligence Systems, 2025

Correction to: Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices.

Friedrich Niemann, Fernando Moya Rueda, Moh'd Khier Al Kfari, Nilah Ravi Nair, Stefan Lüdtke, Alice Kirchheim

Proceedings of the Annotation of Real-World Data for Artificial Intelligence Systems, 2025

Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations.

Nilah Ravi Nair, Jérôme Rutinowski, Moritz Roidl, Alice Kirchheim

Proceedings of the Annotation of Real-World Data for Artificial Intelligence Systems, 2025

2024

Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes.

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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Augmentation of Human Activity Data: Convert, Generate, Transform.

Nilah Ravi Nair, Arthur Matei, Dennis Krön, Fernando Moya Rueda, Christopher Reining, Gernot A. Fink

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Anonymisation for Time-Series Human Activity Data.

Tim Hallyburton, Nilah Ravi Nair, Fernando Moya Rueda, René Grzeszick, Gernot A. Fink

Proceedings of the Pattern Recognition - 27th International Conference, 2024

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

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

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

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

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