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Lloyd Pellatt
Lloyd Pellatt
Research Fellow, University College London
Verified email at sussex.ac.uk
Title
Cited by
Cited by
Year
Detecting freezing of gait with earables trained from VR motion capture data
N Oishi, B Heimler, L Pellatt, M Plotnik, D Roggen
Proceedings of the 2021 ACM International Symposium on Wearable Computers, 33-37, 2021
72021
Mapping vicon motion tracking to 6-Axis IMU data for wearable activity recognition
L Pellatt, A Dewar, A Philippides, D Roggen
Activity and Behavior Computing, 3-20, 2021
72021
Fast deep neural architecture search for wearable activity recognition by early prediction of converged performance
L Pellatt, D Roggen
Proceedings of the 2021 ACM International Symposium on Wearable Computers, 1-6, 2021
62021
Slow feature preprocessing in deep neural networks for wearable sensor-based locomotion recognition
L Günthermann, L Pellatt, D Roggen
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
52022
CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition
L Pellatt, D Roggen
Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020
52020
Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance
L Pellatt, D Roggen
Frontiers in Computer Science 4, 914330, 2022
32022
A Concurrent Training Method of Deep-Learning Autoencoders in a Multi-user Interference Channel
L Pellatt, M Nekovee, D Wu
2021 17th International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2021
22021
A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR
L Pellatt, M Bock, D Roggen, K Van Laerhoven
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
12022
Compute-optimised deep learning for wearable time series with fast multi-objective architecture search
L Pellatt
University of Sussex, 2024
2024
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Articles 1–9