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Journal Papers

2021

M. Ciliberto, V. Fortes Rey, A. Calatroni, P. Lukowicz, and D. Roggen. Opportunity++: A Multimodal Dataset for Video-and Wearable, Object and Ambient Sensors-based Human Activity Recognition. Frontiers in Computer Science, 2021. [ DOI ]

L. Wang, H. Gjoreski, M. Ciliberto, P. Lago, K. Murao, T. Okita, and D. Roggen. Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors. Frontiers in Computer Science, 2021. [ DOI ]

O. Banos, A. Calatroni, M. Damas, H. Pomares, D. Roggen, I. Rojas, and C. Villalonga. Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning. Neural Processing Letters, 2021. [ DOI ]

P. Lugoda, J. C. Costa, L. A. García-García, A. Pouryazdan, Z. Jocys, F. Spina, J. Salvage, D. Roggen, and N. Münzenrieder. Coco stretch: strain sensors based on natural coconut oil and carbon black filled elastomers. 6(2), 2021. [ DOI ]

2020

S. Richoz, L. Wang, P. Birch, and D. Roggen. Transportation mode recognition fusing wearable motion, sound and vision sensors. IEEE Sensors Journal, 20(16):9314-9328, 2020. [ DOI ]

2019

J. C. Costa, F. Spina, P. Lugoda, L. Garcia-Garcia, D. Roggen, and N. Münzenrieder. Flexible sensors: from materials to applications. Technologies, 7(2), 2019. [ DOI ]

L. Wang, H. Gjoreski, M. Ciliberto, S. Mekki, S. Valentin, and D. Roggen. Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset. IEEE Access, 7:10870-10891, 2019. [ DOI ]

2018

J. T McGhee, M. Hamedi, M. Fatoorechi, D. Roggen, A. Cleal, R. Prance, and C. Nduka. Towards a novel biometric facial input for emotion recognition and assistive technology for virtual reality. Int J Child Health Hum Dev, 11(2):243-247, 2018.

H. J. Witchel, C. Oberndorfer, R. Needham, A. Healy, C. EI Westling, J. H. Guppy, J. Bush, J. Barth, C. Herberz, D. Roggen, B. M. Eskofier, W. Rashid, N. Chockalingam, and J. Klucken. Thigh-Derived Inertial Sensor Metrics to Assess the Sit-to-Stand and Stand-to-Sit Transitions in the Timed Up and Go (TUG) Task for Quantifying Mobility Impairment in Multiple Sclerosis. Frontiers in neurology, 9(684):1-16, 2018. [ DOI ]

H. Gjoreski, M. Ciliberto, L. Wang, F.-J. Ordonez Morales, S. Mekki, S. Valentin, and D. Roggen. The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices. IEEE Access, 6:42592-42604, 2018. [ DOI ]

2017

X. Liu, Z. Sheng, C. Yin, F. Ali, and D. Roggen. Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) in Large Scale Networks. IEEE Internet of Things Journal, 4(6):2172-2185, 2017. [ DOI ]

2016

F. J. Ordóñez Morales and D. Roggen. Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition. Sensors, 16(1):1-25, 2016. [ DOI ]

M. Hardegger, D. Roggen, A. Calatroni, and G. Troester. S-SMART: A unified bayesian framework for simultaneous semantic mapping, activity recognition, and tracking. ACM Transactions on Intelligent Systems and Technology, 7(3):1-28, 2016. [ DOI ]

2015

D. Gatica-Perez, D. Roggen, and M. Fukumoto. Theme issue from ISWC 2013. Personal and Ubiquitous Computing, (1):103-104, 2015. [ DOI ]

M. Hardegger, D. Roggen, and G. Tröster. 3D ActionSLAM: wearable person tracking in multi-floor environments. Personal and Ubiquitous Computing, 19(1):123-141, 2015. [ DOI | html ]

2014

B. Tessendorf, F. Gravenhorst, D. Roggen, T. Stiefmeier, C. Strohrmann, G. Tröster, P. Derleth, and M. Feilner. Exploration of head gesture control for hearing instruments. International Journal of Ad Hoc and Ubiquitous Computing, 16(4):240-249, 2014. [ DOI ]

D. Roggen, D. Gatica Perez, M. Fukumoto, and K. van Laerhoven. ISWC 2013 - Wearables Are Here to Stay. IEEE Pervasive Computing, 13(1):14-18, 2014. [ DOI ]

2013

M. Wirz, T. Franke, D. Roggen, E. Mitleton-Kelly, P. Lukowicz, and G. Tröster. Probing crowd density through smartphones in city-scale mass gatherings. EPJ Data Science, 2(5):1-24, 2013. [ DOI ]

R. Chavarriaga, H. Sagha, A. Calatroni, S. Digumarti, J. Millan, D. Roggen, and G. Troester. The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition. Pattern Recognition Letters, 34(15):2033-2042, 2013. [ DOI ]

A. Manzoor, H.-L. Truong, A. Calatroni, D. Roggen, M. Bouroche, S. Clarke, V. Cahill, G. Tröster, and S. Dustdar. Analyzing the impact of different action primitives in designing high-level human activity recognition systems. 5(5):443-461, 2013. [ DOI ]

D. Roggen, G. Tröster, P. Lukowicz, A. Ferscha, J. Millán, and R. Chavarriaga. Opportunistic Human Activity and Context Recognition. IEEE Computer Magazine, 46(2):36-45, 2013. [ DOI ]

2012

P. Zappi, D. Roggen, E. Farella, G. Tröster, and L. Benini. Network-level power-performance trade-off in wearable activity recognition: a dynamic sensor selection approach. ACM Transactions on Embedded Computing Systems, 11(3):1-30, 2012. [ DOI ]

2011

Marc Kurz, Gerold Hölzl, Alois Ferscha, Alberto Calatroni, Daniel Roggen, Gerhard Tröster, Hesam Sagha, Ricardo Chavarriaga, José del R. Millán, David Bannach, Kai Kunze, and Paul Lukowicz. The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition. International Journal of Sensors, Wireless Communications and Control, pages 102-125, December 2011. [ DOI ]

Andreas Bulling, Daniel Roggen, and Gerhard Tröster. What's in the eyes for context-awareness? IEEE Pervasive Computing, 10(2):48-57, 2011. [ DOI ]

D. Roggen, C. Lombriser, M. Rossi, and G. Tröster. Titan: An Enabling Framework for Activity-Aware “PervasiveApps” in Opportunistic Personal Area Networks. EURASIP Journal on Wireless Communications and Networking, pages 1-22, 2011. [ DOI ]

D. Roggen, S. Magnenat, M. Waibel, and G. Tröster. Wearable Computing: Designing and Sharing Activity-Recognition Systems Across Platforms. IEEE Robotics and Automation Magazine, 18(2):83-95, 2011. [ DOI ]

D. Roggen, M. Wirz, G. Tröster, and D. Helbing. Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods. Networks and Heterogeneous Media, 6(3):521-544, 2011. [ DOI ]

D. Roggen, A. Calatroni, K. Förster, G. Tröster, P. Lukowicz, D. Bannach, A. Ferscha, M. Kurz, G. Hölzl, H. Sagha, H. Bayati, J. del R. Millán, and R. Chavarriaga. Activity Recognition in Opportunistic Sensor Environments. Procedia Computer Science, 7:173-174, 2011. [ DOI ]

2010

M. Bächlin, M. Plotnik, D. Roggen, I. Maidan, J. M. Hausdorff, N. Giladi, and G. Tröster. Wearable Assistant for Parkinson's Disease Patients With the Freezing of Gait Symptom. IEEE Transactions on Information Technology in Biomedicine, 14(2):436-446, 2010. [ DOI ]

M. Bächlin, M. Plotnik, D. Roggen, N. Giladi, J. M. Hausdorff, , and G. Tröster. A Wearable System to Assist Walking of Parkinson's Disease Patients. Methods of Information in Medicine, 49(1):88-95, 2010. [ DOI ]

P. Lukowicz, O. Amft, D. Roggen, and J. Cheng. On-Body Sensing: From Gesture-Based Input to Activity-Driven Interaction. IEEE Computer, 43(10):92-96, 2010. [ DOI ]

2009

Andreas Bulling, Daniel Roggen, and Gerhard Tröster. Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments. Journal of Ambient Intelligence and Smart Environments, 1(2):157-171, May 2009. [ DOI ]

M. Appert, H. Harms, R. Müller, D. Roggen, K. Brütsch, G. Tröster, and A. Meyer-Heim. Detection of posture in children by an electronic garment - a pilot study. Swiss Medical Weekly - The European Journal of Medical Sciences, 139:22, 2009.

H. Harms, O. Amft, D. Roggen, and G. Tröster. Rapid prototyping of smart garments for activity-aware applications. Journal of Ambient Intelligence and Smart Environments, 1(2):87-101, 2009.

C. Lombriser, R. Marin-Perianu, D. Roggen, P. Havinga, and G. Tröster. Modeling Service-oriented Context Processing in Dynamic Body Area Networks. IEEE Journal on Selected Areas in Communications, 27(1):49-57, 2009. [ DOI ]

2008

T. Stiefmeier, D. Roggen, G. Ogris, P. Lukowicz, and G. Tröster. Wearable Activity Tracking in Car Manufacturing. IEEE Pervasive Computing Magazine, 7(2):42-50, April-June 2008. [ DOI | pdf ]

J. Schumm, M. Bächlin, C. Setz, B. Arnrich, D. Roggen, and G. Tröster. Effect of movements on the electrodermal response after a startle event. Methods of Information in Medicine, 47(3):186-191, 2008. [ pdf ]

2007

D. Roggen, D. Federici, and D. Floreano. Evolutionary Morphogenesis for Multi-Cellular Systems. Genetic Programming and Evolvable Machines, 8(1):61-96, 2007.

2004

D. Floreano, F. Mondada, A. Perez-Uribe, and D. Roggen. Machine Self-Evolution. YLEM journal, 24(12):4-10, 2004. [ pdf ]