Attila Reiss

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Didier StrickerProfessor for Computer Science, University KaiserslauternVerified email at dfki.uni-kl.de
Robert DuerichenSensyne Health, UKVerified email at sensynehealth.com
Kristof Van LaerhovenUniversity of SiegenVerified email at eti.uni-siegen.de
Gustaf HendebyAssoc. Prof & Docent, Linköping UniversityVerified email at liu.se
Oliver AmftProfessor of Digital HealthVerified email at fau.de
Jingyuan ChengUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Paul LukowiczProfessor of Computer Science, DFKI and University of KaiserslauternVerified email at dfki.de
Gabriele BleserTechnische Universität Kaiserslautern / German Research Center for Artificial IntelligenceVerified email at cs.uni-kl.de
Bo ZhouGerman Research Center for Artificial IntelligenceVerified email at dfki.de
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyVerified email at kit.edu
Michael HanselmannSenior Manager (AI, Automated Driving), Robert Bosch GmbHVerified email at de.bosch.com
Marco HirschResearcher at German Research Center for Artificial Intelligence (DFKI)Verified email at dfki.de
Sarvenaz SalehiDaimlerVerified email at Daimler.com
Ilias LamprinosMaster R&D Engineer - Project Manager, Telco Software Dpt., INTRACOM TELECOMVerified email at intracom-telecom.com
Thomas PloetzGeorgia Institute of TechnologyVerified email at gatech.edu
Shabnam GhaffarzadeganSenior Research Scientist, Bosch Research and Technology CenterVerified email at us.bosch.com
Zhe FengBosch Research & Technology Center, North AmericaVerified email at us.bosch.com
Dávid SzeszlérBudapest University of Technology and EconomicsVerified email at cs.bme.hu
Jens WeppnerGerman Research Center for Artificial Intelligence (DFKI)Verified email at dfki.de
Benjamin BischkeResearcher NVIDIA AI Lab, German Research Center for Artificial Intelligence, Vision ImpulseVerified email at dfki.de

Attila Reiss

Bosch Center for Artificial Intelligence

Verified email at de.bosch.com - Homepage

Wearable computing Bayesian Optimisation Machine learning Activity recognition Affective computing


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Introducing a new benchmarked dataset for activity monitoring A Reiss, D Stricker 2012 16th international symposium on wearable computers, 108-109, 2012	600	2012
Creating and benchmarking a new dataset for physical activity monitoring A Reiss, D Stricker Proceedings of the 5th International Conference on PErvasive Technologies …, 2012	211	2012
Introducing wesad, a multimodal dataset for wearable stress and affect detection P Schmidt, A Reiss, R Duerichen, C Marberger, K Van Laerhoven Proceedings of the 20th ACM international conference on multimodal …, 2018	193	2018
CNN-based sensor fusion techniques for multimodal human activity recognition S Münzner, P Schmidt, A Reiss, M Hanselmann, R Stiefelhagen, ... Proceedings of the 2017 ACM International Symposium on Wearable Computers …, 2017	117	2017
A competitive approach for human activity recognition on smartphones A Reiss, G Hendeby, D Stricker European Symposium on Artificial Neural Networks, Computational Intelligence …, 2013	70	2013
Deep PPG: large-scale heart rate estimation with convolutional neural networks A Reiss, I Indlekofer, P Schmidt, K Van Laerhoven Sensors 19 (14), 3079, 2019	65	2019
Smart table surface: A novel approach to pervasive dining monitoring B Zhou, J Cheng, M Sundholm, A Reiss, W Huang, O Amft, P Lukowicz 2015 IEEE International Conference on Pervasive Computing and Communications …, 2015	64	2015
Exploring and extending the boundaries of physical activity recognition A Reiss, M Weber, D Stricker 2011 IEEE International Conference on Systems, Man, and Cybernetics, 46-50, 2011	56	2011
Wearable-based affect recognition—A review P Schmidt, A Reiss, R Dürichen, KV Laerhoven Sensors 19 (19), 4079, 2019	49	2019
Personalized mobile physical activity recognition A Reiss, D Stricker Proceedings of the 2013 international symposium on wearable computers, 25-28, 2013	49	2013
Introducing a modular activity monitoring system A Reiss, D Stricker 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011	43	2011
Towards robust activity recognition for everyday life: Methods and evaluation A Reiss, G Hendeby, D Stricker Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013 7th …, 2013	41	2013
Towards global aerobic activity monitoring A Reiss, D Stricker Proceedings of the 4th International Conference on PErvasive Technologies …, 2011	37	2011
A novel confidence-based multiclass boosting algorithm for mobile physical activity monitoring A Reiss, G Hendeby, D Stricker Personal and Ubiquitous Computing 19 (1), 105-121, 2015	36	2015
Aerobic activity monitoring: towards a long-term approach A Reiss, D Stricker Universal Access in the Information Society 13 (1), 101-114, 2014	34	2014
Personalized mobile physical activity monitoring for everyday life A Reiss	34	2014
Activity recognition using biomechanical model based pose estimation A Reiss, G Hendeby, G Bleser, D Stricker European Conference on Smart Sensing and Context, 42-55, 2010	32	2010
Wearable affect and stress recognition: A review P Schmidt, A Reiss, R Duerichen, K Van Laerhoven arXiv preprint arXiv:1811.08854, 2018	30	2018
Personalized physical activity monitoring using wearable sensors G Bleser, D Steffen, A Reiss, M Weber, G Hendeby, L Fradet Smart health, 99-124, 2015	30	2015
Confidence-based multiclass AdaBoost for physical activity monitoring A Reiss, G Hendeby, D Stricker Proceedings of the 17th annual international symposium on International …, 2013	29	2013

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