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Daniel Roggen
Researcher at University of Sussex
Publications - 212
Citations - 10479
Daniel Roggen is an academic researcher from University of Sussex. The author has contributed to research in topics: Activity recognition & Wearable computer. The author has an hindex of 46, co-authored 200 publications receiving 8710 citations. Previous affiliations of Daniel Roggen include École Normale Supérieure & Newcastle University.
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Journal ArticleDOI
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
TL;DR: A generic deep framework for activity recognition based on convolutional and LSTM recurrent units, which is suitable for multimodal wearable sensors, does not require expert knowledge in designing features, and explicitly models the temporal dynamics of feature activations is proposed.
Proceedings ArticleDOI
Collecting complex activity datasets in highly rich networked sensor environments
Daniel Roggen,Alberto Calatroni,Mirco Rossi,Thomas Holleczek,Kilian Förster,Gerhard Tröster,Paul Lukowicz,David Bannach,Gerald Pirkl,Alois Ferscha,Jakob Doppler,Clemens Holzmann,Marc Kurz,Gerald Holl,Ricardo Chavarriaga,Hesam Sagha,Hamidreza Bayati,Marco Creatura,José del R. Millán +18 more
TL;DR: The networked sensor setup and the methodology for data acquisition, synchronization and curation, and the use of the dataset to develop new sensor network self-organization principles and machine learning techniques for activity recognition in opportunistic sensor configurations are described.
Journal ArticleDOI
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
Ricardo Chavarriaga,Hesam Sagha,Alberto Calatroni,Sundara Tejaswi Digumarti,Gerhard Tröster,José del R. Millán,Daniel Roggen +6 more
TL;DR: This work introduces a versatile human activity dataset recorded in a sensor-rich environment and expects this benchmarking database will motivate other researchers to replicate and outperform the presented results, thus contributing to further advances in the state-of-the-art of activity recognition methods.
Journal ArticleDOI
Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom
M. Bachlin,Meir Plotnik,Daniel Roggen,Inbal Maidan,Jeffrey M. Hausdorff,Nir Giladi,Gerhard Tröster +6 more
TL;DR: A wearable assistant for Parkinson's disease (PD) patients with the freezing of gait (FOG) symptom that uses on-body acceleration sensors to measure the patients' movements and provides online assistive feedback for PD patients when they experienced FOG.
Journal ArticleDOI
Wearable Activity Tracking in Car Manufacturing
TL;DR: A context-aware wearable computing system could support a production or maintenance worker by recognizing the worker's actions and delivering just-in-time information about activities to be performed.