| RF-sensing of activities from non-cooperative subjects in device-free recognition systems using ambient and local signals S Sigg, M Scholz, S Shi, Y Ji, M Beigl IEEE Transactions on Mobile Computing 13 (4), 907-920, 2013 | 217 | 2013 |
| Secure communication based on ambient audio D Schürmann, S Sigg IEEE Transactions on mobile computing 12 (2), 358-370, 2011 | 133 | 2011 |
| The telepathic phone: Frictionless activity recognition from wifi-rssi S Sigg, U Blanke, G Tröster 2014 IEEE international conference on pervasive computing and communications …, 2014 | 127 | 2014 |
| Device-free radio vision for assisted living: Leveraging wireless channel quality information for human sensing S Savazzi, S Sigg, M Nicoli, V Rampa, S Kianoush, U Spagnolini IEEE Signal Processing Magazine 33 (2), 45-58, 2016 | 103 | 2016 |
| Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features S Sigg, S Shi, F Buesching, Y Ji, L Wolf Proceedings of International Conference on Advances in Mobile Computing …, 2013 | 97 | 2013 |
| An alignment approach for context prediction tasks in ubicomp environments S Sigg, S Haseloff, K David Pervasive Computing, IEEE, 2010 | 82 | 2010 |
| Accurate location tracking from CSI-based passive device-free probabilistic fingerprinting S Shi, S Sigg, L Chen, Y Ji IEEE Transactions on Vehicular Technology 67 (6), 5217-5230, 2018 | 70 | 2018 |
| Rf-based device-free recognition of simultaneously conducted activities S Sigg, S Shi, Y Ji Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 43 | 2013 |
| Challenges for device-free radio-based activity recognition M Scholz, S Sigg, HR Schmidtke, M Beigl Workshop on Context Systems, Design, Evaluation and Optimisation, 2011 | 43 | 2011 |
| Development of a novel context prediction algorithm and analysis of context prediction schemes S Sigg kassel university press GmbH, 2008 | 41 | 2008 |
| BANDANA—Body area network device-to-device authentication using natural gAit D Schürmann, A Brüsch, S Sigg, L Wolf 2017 IEEE International Conference on Pervasive Computing and Communications …, 2017 | 39 | 2017 |
| Investigation of context prediction accuracy for different context abstraction levels S Sigg, D Gordon, G Von Zengen, M Beigl, S Haseloff, K David IEEE Transactions on Mobile Computing 11 (6), 1047-1059, 2012 | 38 | 2012 |
| Monitoring attention using ambient FM radio signals S Shi, S Sigg, W Zhao, Y Ji IEEE Pervasive Computing 13 (1), 30-36, 2014 | 34 | 2014 |
| A novel approach to context prediction in ubicomp environments S Sigg, S Haseloff, K David 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio …, 2006 | 30 | 2006 |
| Af-dcgan: Amplitude feature deep convolutional gan for fingerprint construction in indoor localization systems Q Li, H Qu, Z Liu, N Zhou, W Sun, S Sigg, J Li IEEE Transactions on Emerging Topics in Computational Intelligence, 2019 | 27 | 2019 |
| Passive detection of situations from ambient fm-radio signals S Shi, S Sigg, Y Ji Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 1049-1053, 2012 | 27 | 2012 |
| Applicability of rf-based methods for emotion recognition: A survey M Raja, S Sigg 2016 IEEE international conference on pervasive computing and communication …, 2016 | 26 | 2016 |
| Joint localization and activity recognition from ambient FM broadcast signals S Shi, S Sigg, Y Ji Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 25 | 2013 |
| WiBot! In-vehicle behaviour and gesture recognition using wireless network edge M Raja, V Ghaderi, S Sigg 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 23 | 2018 |
| Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates S Sigg, E Lagerspetz, E Peltonen, P Nurmi, S Tarkoma ACM Transactions on the Web (TWEB) 13 (2), 1-25, 2019 | 22* | 2019 |
Michael BeiglProfessor for Informatics, Karlsruhe Institute of Technology (KIT)Verified email at teco.edu
