Daniel Roggen

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Dr. Alberto CalatroniSensoryx AGDirección de correo verificada de sensoryx.tech
Paul LukowiczProfessor of Computer Science, DFKI and RPTU KaiserslauternDirección de correo verificada de dfki.de
Ricardo ChavarriagaZurich University of Applied Sciences, ZHAWDirección de correo verificada de zhaw.ch
José del R. MillánLinda Steen Norris & Lee Norris Endowed Chair Prof, University of Texas at Austin, ECE & NeurologyDirección de correo verificada de austin.utexas.edu
Alois FerschaProfessor of Computer Science, JKUDirección de correo verificada de jku.at
Mathias CilibertoUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Martin WirzPhD, Wearable computing Lab., ETH ZurichDirección de correo verificada de wirzm.ch
Hesam SaghaaudEERING GmbHDirección de correo verificada de audeering.com
Jeffrey HausdorffTel Aviv Medical Center; Tel Aviv University; Rush University Medical SchoolDirección de correo verificada de tlvmc.gov.il
Lin WangQueen Mary University of LondonDirección de correo verificada de qmul.ac.uk
Hristijan GjoreskiSs. Cyril and Methodius University in Skopje, Emteq Labs UKDirección de correo verificada de feit.ukim.edu.mk
Clemens LombriserGoogleDirección de correo verificada de google.com
Andreas BullingProfessor of Computer Science, University of StuttgartDirección de correo verificada de vis.uni-stuttgart.de
meir plotnikScientific Director -CATR - Sheba Medical CenterDirección de correo verificada de sheba.health.gov.il
Niko MünzenriederFree University of Bozen-BolzanoDirección de correo verificada de unibz.it
Nir GiladiTel Aviv Sourasky Medical Center, Tel Aviv UniversityDirección de correo verificada de tlvmc.gov.il
Marc KurzUniversity of Applied Sciences Upper AustriaDirección de correo verificada de fh-hagenberg.at
Francisco Javier OrdoñezAiFi Inc.Dirección de correo verificada de aifi.com
Leonardo A. García-GarcíaSensor Technology Research CentreDirección de correo verificada de sussex.ac.uk
Michael HardeggerWearable Computing Laboratory, ETH ZürichDirección de correo verificada de ife.ee.ethz.ch

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Daniel Roggen

University of Sussex

Dirección de correo verificada de ieee.org - Página principal

Wearable computing ubiquitous computing embedded machine learning artificial intelligence robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition FJ Ordóñez, D Roggen Sensors 16 (1), 115, 2016	2814	2016
Collecting complex activity datasets in highly rich networked sensor environments D Roggen, A Calatroni, M Rossi, T Holleczek, K Förster, G Tröster, ... 2010 Seventh international conference on networked sensing systems (INSS …, 2010	929	2010
Wearable assistant for Parkinson’s disease patients with the freezing of gait symptom M Bachlin, M Plotnik, D Roggen, I Maidan, JM Hausdorff, N Giladi, ... IEEE Transactions on Information Technology in Biomedicine 14 (2), 436-446, 2009	834	2009
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition R Chavarriaga, H Sagha, A Calatroni, ST Digumarti, G Tröster, JR Millán, ... Pattern Recognition Letters 34 (15), 2033-2042, 2013	827	2013
Wearable activity tracking in car manufacturing T Stiefmeier, D Roggen, G Ogris, P Lukowicz, G Tröster IEEE Pervasive Computing 7 (2), 42-50, 2008	476	2008
Activity recognition from on-body sensors: accuracy-power trade-off by dynamic sensor selection P Zappi, C Lombriser, T Stiefmeier, E Farella, D Roggen, L Benini, ... Wireless Sensor Networks: 5th European Conference, EWSN 2008, Bologna, Italy …, 2008	433	2008
Online detection of freezing of gait with smartphones and machine learning techniques S Mazilu, M Hardegger, Z Zhu, D Roggen, G Tröster, M Plotnik, ... 2012 6th International Conference on Pervasive Computing Technologies for …, 2012	287	2012
The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices H Gjoreski, M Ciliberto, L Wang, FJO Morales, S Mekki, S Valentin, ... IEEE Access 6, 42592-42604, 2018	269	2018
Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments A Bulling, D Roggen, G Tröster Journal of Ambient Intelligence and Smart Environments 1 (2), 157-171, 2009	222	2009
Flexible sensors—from materials to applications JC Costa, F Spina, P Lugoda, L Garcia-Garcia, D Roggen, ... Technologies 7 (2), 35, 2019	201	2019
Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset L Wang, H Gjoreski, M Ciliberto, S Mekki, S Valentin, D Roggen IEEE Access 7, 10870-10891, 2019	179	2019
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations FJO Morales, D Roggen Proceedings of the 2016 ACM International Symposium on Wearable Computers, 92-99, 2016	167	2016
A wearable system to assist walking of Parkinson s disease patients M Bächlin, M Plotnik, D Roggen, N Giladi, JM Hausdorff, G Tröster Methods of information in medicine 49 (01), 88-95, 2010	167	2010
Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness P Zappi, T Stiefmeier, E Farella, D Roggen, L Benini, G Troster 2007 3rd international conference on intelligent sensors, sensor networks …, 2007	165	2007
Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's R McNaney, J Vines, D Roggen, M Balaam, P Zhang, I Poliakov, P Olivier Proceedings of the sigchi conference on human factors in computing systems …, 2014	141	2014
Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods D Roggen, M Wirz, G Tröster, D Helbing arXiv preprint arXiv:1109.1664, 2011	129	2011
Wearable EOG goggles: eye-based interaction in everyday environments A Bulling, D Roggen, G Tröster CHI'09 Extended Abstracts on Human Factors in Computing Systems, 3259-3264, 2009	128	2009
It's in your eyes: towards context-awareness and mobile HCI using wearable EOG goggles A Bulling, D Roggen, G Tröster Proceedings of the 10th international conference on Ubiquitous computing, 84-93, 2008	126	2008
Feature learning for detection and prediction of freezing of gait in Parkinson’s disease S Mazilu, A Calatroni, E Gazit, D Roggen, JM Hausdorff, G Tröster Machine Learning and Data Mining in Pattern Recognition: 9th International …, 2013	123	2013
Benchmarking classification techniques using the Opportunity human activity dataset H Sagha, ST Digumarti, JR Millán, R Chavarriaga, A Calatroni, D Roggen, ... 2011 IEEE International Conference on Systems, Man, and Cybernetics, 36-40, 2011	122	2011

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