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Stephan Sigg is an Associate Professor at Aalto University in the Department of Communications and Networking. His research interests include the design, analysis and optimisation of algorithms for distributed and ubiquitous systems. Especially, his work covers proactive computing, distributed adaptive beamforming, context-based secure key generation and device-free passive activity recognition. Stephan is an editorial board member of the Elsevier Journal on Computer Communications and has been a guest editor for the Springer Personal and Ubiquitous Computing Systems Journal. He has served on the organizing and technical committees numerous prestigious conferences including IEEE PerCom, ACM Ubicomp.
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Stephan Sigg

Stephan Sigg

  • Aalto University
  • Maarintie 8
  • 00076 Espoo
  • Finland
  • +358 (0)50-4666941
  • stephan.sigg@aalto.fi (PGP public key)
  • --------------------------------------------------------------------------------------------
  • (I use Email for asynchronous communication and will check my inbox only occasionally. If you expect a quick answer, please call +358-(0)50-4666941.)

Stephan's research interests include the design, analysis and optimisation of algorithms for distributed and ubiquitous systems. Recently he has considered problems related to context prediction, collaborative transmission in Wireless sensor networks, context-based secure key generation, device-free passive activity recognition and computation of functions in wireless networks at the time of transmission.

Publications

other: Semantic Scholar Google Scholar, Research Gate, DBLP
  2019 (17)
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems. Li, Q.; Qu, H.; Liu, Z.; Zhou, N.; Sun, W.; Sigg, S.; and Li, J. IEEE Transactions on Emerging Topics in Computational Intelligence. 2019.
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Extracting Human Context through Receiver-end Beamforming. Palipana, S.; and Sigg, S. IEEE Access. 2019.
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Hide my Gaze with EOG! Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses. Findling, R. D.; Quddus, T.; and Sigg, S. In 17th International Conference on Advances in Mobile Computing and Multimedia, 2019.
Hide my Gaze with EOG! Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses [pdf] paper   bibtex   abstract
Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses. Friström, E.; Lius, E.; Ulmanen, N.; Hietala, P.; Kärkkäinen, P.; Mäkinen, T.; Sigg, S.; and Findling, R. D. In 17th International Conference on Advances in Mobile Computing and Multimedia, 2019.
Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses [pdf] paper   bibtex   abstract
Receiver-Side Beamforming to Isolate Channel Perturbations from a Human Target in a Device-Free Setting. Palipana, S.; and Sigg, S. In Conference on Systems for Energy-Efficient Buildings, Cities and Transportation (Buildsys) (adjunct), 2019.
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Capturing human-machine interaction events from radio sensors in Industry 4.0 environments. Sigg, S.; Palipana, S.; Savazzi, S.; and Kianoush, S. In International Conference on Business Process Management (adjunct), 2019.
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With whom are you talking? Privacy in Speech Interfaces. Backstrom, T.; Das, S.; Zarazaga, P. P.; Sigg, S.; Findling, R.; and Laakasuo, M. In Proceedings of the 4th annual conference of the MyData Global network (MyData 2019), Helsinki, Finland, September 2019.
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Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling. Perez, P.; Backstrom, T.; and Sigg, S. In 27th European Signal Processing Conference (EUSIPCO), 2019.
Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling [pdf] paper   bibtex   abstract
Learning a Classification Model over Vertically-Partitioned Healthcare Data. Nguyen, L. N.; and Sigg, S. IEEE Multimedia Communications – Frontiers, SI on Social and Mobile Connected Smart Objects. 2019.
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On the use of stray wireless signals for sensing: a look beyond 5G for the next generation industry. Savazzi, S.; Sigg, S.; Vicentini, F.; Kianoush, S.; and Findling, R. IEEE Computer, SI on on Transformative Computing and Communication, 52(7): 25-36. 2019.
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Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses. Findling, R. D.; Nguyen, L. N.; and Sigg, S. In International Work-Conference on Artificial Neural Networks, 2019.
Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses [pdf] paper   doi   bibtex   abstract
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest. Skawinski, K.; Roca, F. M.; Findling, R. D.; and Sigg, S. In International Work-Conference on Artificial Neural Networks, volume 11506, of LNCS, pages 347–359, June 2019.
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest [pdf] paper   doi   bibtex   abstract
Wireless Multi-frequency Feature Set to Simplify Human 3D Pose Estimation. Raja, M.; Hughes, A.; Xu, Y.; zarei , P.; Michelson, D. G.; and Sigg, S. IEEE Antennas and Wireless Propagation letters, 18(5): 876-880. 2019.
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Learning with Vertically Partitioned Data, Binary Feedback and Random Parameter update. Nguyen, L. N.; and Sigg, S. In Workshop on Hot Topics in Social and Mobile Connected Smart Objects, in conjuction with IEEE International Conference on Computer Communications (INFOCOM), 2019.
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Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates. Sigg, S.; Peltonen, E.; Lagerspetz, E.; Nurmi, P.; and Tarkoma, S. ACM Transactions on the WEB. 2019.
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Security Properties of Gait for Mobile Device Pairing. Bruesch, A.; Nguyen, L. N.; Schuermann, D.; Sigg, S.; and Wolf, L. IEEE Transactions on Mobile Computing. 2019.
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Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices. Haukipuro, E.; Kolehmainen, V.; Myllarinen, J.; Remander, S.; Salo, J. T.; Takko, T.; Nguyen, L. N.; Sigg, S.; and Findling, R. IEICE Transactions, Special issue on Sensing, Wireless Networking, Data Collection, Analysis and Processing Technologies for Ambient Intelligence with Internet of Things. 2019.
Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices [pdf] paper   doi   bibtex   abstract
  2018 (12)
A cloud-IoT platform for passive radio sensing: challenges and application case studies. Kianoush, S.; Raja, M.; Savazzi, S.; and Sigg, S. IEEE Internet of Things Journal. 2018.
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Moves like Jagger: Exploiting variations in instantaneous gait for spontaneous device pairing . Schürmann, D.; Brüsch, A.; Nguyen, N.; Sigg, S.; and Wolf, L. Pervasive and Mobile Computing , 47. July 2018.
Moves like Jagger: Exploiting variations in instantaneous gait for spontaneous device pairing  [link] paper   doi   bibtex   abstract
Accurate Location Tracking from CSI-based Passive Device-free Probabilistic Fingerprinting. Shi, S.; Sigg, S.; Chen, L.; and Ji, Y. IEEE Transactions on Vehicular Technology. 2018.
Accurate Location Tracking from CSI-based Passive Device-free Probabilistic Fingerprinting [link] paper   doi   bibtex
WiBot! In-Vehicle Behaviour and Gesture Recognition Using Wireless Network Edge. Raja, M.; Ghaderi, V.; and Sigg, S. In 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), 2018.
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Detecting Driver's Disracted Behaviour from Wi-Fi. Raja, M.; Ghaderi, V.; and Sigg, S. In Vehicular Technology Conference (vtc 2018-spring), 2018.
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A cloud-IoT Model for Reconfigurable Radio Sensing: The Radio.Sense Platform. Savazzi, S.; Sigg, S.; Nicoli, M.; Kianoush, S.; Gall, F. L.; Baqa, H.; and Remon, D. In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), February 2018.
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Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI. Ohara, K.; Maekawa, T.; Sigg, S.; and Youssef, M. In 2018 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2018.
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Representation Learning for Sensor-based Device Pairing. Nguyen, L. N.; Sigg, S.; and Kulau, U. In 2018 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2018.
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Demo of BANDANA – Body Area Network Device-to-device Authentication Using Natural gAit. Nguyen, L. N.; Kaya, C. Y.; Bruesch, A.; Schuermann, D.; Sigg, S.; and Wolf, L. In 2018 IEEE International Conference on Pervasive Computing and Communication (Demo), March 2018.
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Local emotions – using social media to understnad human-environment interaction in cities. Strengell, N.; and Sigg, S. In 2018 IEEE International Conference on Pervasive Computing and Communication (adjunct), March 2018.
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Secure Context-based Pairing for Unprecedented Devices. Nguyen, L. N.; and Sigg, S. In 2018 IEEE International Conference on Pervasive Computing and Communication (adjunct), March 2018.
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User Authentication based on Personal Image Experiences. Nguyen, L. N.; and Sigg, S. In 2018 IEEE International Conference on Pervasive Computing and Communication (adjunct), March 2018.
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  2017 (11)
Towards pervasive geospatial affect perception. Raja, M.; Exler, A.; Hemminki, S.; Konomi, S.; Sigg, S.; and Inoue, S. Springer GeoInformatica. 2017.
Towards pervasive geospatial affect perception [link]Paper   doi   bibtex   abstract
Radar for In-Door Monitoring: Detection, Localization, and Assessment. Savazzi, S.; Sigg, S.; Nicoli, M.; Rampa, V.; Kianoush, S.; and Spagnolini, U. Wireless Sensing for Device-Free Recognition of Human Motion. Taylor and Francis Group, 2017.
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GI-Dagstuhl Seminar 16353 on Aware Machine to Machine Communication. Sigg, S.; Arumaithurai, M.; and Wang, X. Informatik-Spektrum, 40. 2017.
GI-Dagstuhl Seminar 16353 on Aware Machine to Machine Communication [pdf] paper   bibtex
Smart City Environmental perception from ambient cellular signals. Singh, I.; and Sigg, S. In International Workshop on Distributed Autonomous Computing in Smart City, August 2017.
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5G Ubiquitous Sensing: Passive Environmental Perception in Cellular Systems. Gholampooryazdi, B.; Singh, I.; and Sigg, S. In Vehicular Technology Conference (vtc 2017-fall), September 2017.
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BANDANA – Body Area Network Device-to-device Authentication using Natural gAit. Schuermann, D.; Bruesch, A.; Sigg, S.; and Wolf, L. In 2017 IEEE International Conference on Pervasive Computing and Communication, March 2017.
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PassFrame: Generating Image-based Passwords from Egocentric Videos. Nguyen, L. N.; and Sigg, S. In 2017 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2017.
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Demo of PassFrame: Generating Image-based Passwords from Egocentric Videos. Nguyen, L. N.; and Sigg, S. In 2017 IEEE International Conference on Pervasive Computing and Communication (demo), March 2017.
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RFexpress! – Exploiting the wireless network edge for RF-based emotion sensing. Raja, M.; and Sigg, S. In 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA'17), 2017.
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RFexpress! - RF Emotion Recognition in the Wild. Raja, M.; and Sigg, S. In 2017 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2017.
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Walking Speed Recognition from 5G Prototype System. Gholampooryazdi, B.; and Sigg, S. In 2017 IEEE International Conference on Pervasive Computing and Communication (WiP), March 2017.
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  2016 (5)
CoCo (Context vs. Content): Behavior-Inspired Social Media Recommendation for Mobile Apps. Yang, B.; Wu, C.; Sigg, S.; and Zhang, Y. In 2016 IEEE Global Communications Conference (Globecom), December 2016.
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Device-Free Radio Vision for Assisted Living: Leveraging wireless channel quality information for human sensing. Savazzi, S.; Sigg, S.; Nicoli, M.; Rampa, V.; Kianoush, S.; and Spagnolini, U. IEEE Signal Processing Magazine, 33(2): 45-58. March 2016.
Device-Free Radio Vision for Assisted Living: Leveraging wireless channel quality information for human sensing [link] paper   doi   bibtex   abstract
Probabilistic Fingerprinting Based Passive Device-free Localization from Channel State Information. Shi, S.; Sigg, S.; and Ji, Y. In Vehicular Technology Conference (vtc 2016-spring), May 2016.
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Applicability of RF-based methods for emotion recognition: A survey. Raja, M.; and Sigg, S. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pages 1-6, March 2016.
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Empty Scene and Non-empty Scene Detection from Wi-Sun Acceleration Sensor. Liu, Z.; Sigg, S.; Tsuda, T.; and Watanabe, H. . 2016.
Empty Scene and Non-empty Scene Detection from Wi-Sun Acceleration Sensor [pdf] paper   bibtex   abstract
  2015 (4)
Contact-free Sensing for Collective Activity Recognition. Sigg, S. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, of UbiComp/ISWC'15 Adjunct, pages 885–886, New York, NY, USA, 2015. ACM
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Recent Advances and Challenges in Ubiquitous Sensing. Sigg, S.; Kunze, K.; and Fu, X. CoRR, abs/1503.04973. 2015.
Recent Advances and Challenges in Ubiquitous Sensing [link]Paper   bibtex   abstract
Demo abstract: Use the force, Luke: Implementation of RF-based gesture interaction on an android phone. Rauterberg, C.; Sigg, S.; and Fu, X. In Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on, pages 190-192, March 2015.
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Simply Use the Force. Rauterberg, C.; Velten, M.; Sigg, S.; and Fu, X. IEEE/KuVS NetSys. 2015.
Simply Use the Force [pdf] paper   bibtex
  2014 (7)
Towards Mobile Sensor-Aware Crowdsourcing: Architecture, Opportunities and Challenges. He, J.; Kunze, K.; Lofi, C.; Madria, S. K.; and Sigg, S. In UnCrowd 2014: DASFAA Workshop on Uncertain and Crowdsourced Data, 2014.
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The Telepathic Phone: Frictionless Activity Recognition from WiFi-RSSI. Sigg, S.; Blanke, U.; and Troester, G. In IEEE International Conference on Pervasive Computing and Communications (PerCom), of PerCom '14, 2014.
The Telepathic Phone: Frictionless Activity Recognition from WiFi-RSSI [pdf] slides   doi   bibtex   abstract
Teach your WiFi-Device: Recognise Gestures and Simultaneous Activities from Time-Domain RF-Features. Sigg, S.; Shi, S.; and Ji, Y. International Journal on Ambient Computing and Intelligence (IJACI), 6(1). 2014.
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Monitoring of Attention from Ambient FM-radio Signals. Shi, S.; Sigg, S.; Zhao, W.; and Ji, Y. IEEE Pervasive Computing, Special Issue - Managing Attention in Pervasive Environments. Jan-March 2014.
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A fast binary feedback-based distributed adaptive carrier synchronisation for transmission among clusters of disconnected IoT nodes in smart spaces. Sigg, S. Ad Hoc Netw.. 2014.
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Social Opportunistic Sensing and Social Centric Networking: Enabling Technology for Smart Cities. Sigg, S.; and Fu, X. In Proceedings of the 2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities, of WiMobCity '14, pages 83–90, New York, NY, USA, 2014.
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RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals. Sigg, S.; Scholz, M.; Shi, S.; Ji, Y.; and Beigl, M. IEEE Transactions on Mobile Computing, 13(4): 907-920. April 2014.
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  2013 (7)
2nd workshop on recent advances in behavior prediction and pro-active pervasive computing. David, K.; Klein, B. N.; Lau, S. L.; Sigg, S.; and Ziebart, B. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, pages 435–440, 2013. ACM
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Passive, device-free recognition on your mobile phone: tools, features and a case study. Sigg, S.; Hock, M.; Scholz, M.; Troester, G.; Wolf, L.; Ji, Y.; and Beigl, M. In Proceedings of the 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2013.
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Utilising an algebra of random functions to realise function calculation via a physical channel. Sigg, S.; Jakimovski, P.; Ji, Y.; and Beigl, M. In 14th IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013.
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A comparison of two approaches to activity recognition of individuals in an indoor environment. Shi, S.; Sigg, S.; and Ji, Y. In 2013 IEICE General Conference, 2013.
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Leveraging RF-channel fluctuation for activity recognition. Sigg, S.; Shi, S.; Buesching, F.; Ji, Y.; and Wolf, L. In Proceedings of the 11th International Conference on Advances in Mobile Computing and Multimedia (MoMM2013), 2013.
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A Concept for Support of Firefighter Frontline Communication. Scholz, M.; Gordon, D.; Ramirez, L.; Sigg, S.; Dyrks, T.; and Beigl, M. Future Internet, 5(2): 113-127. 2013.
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Secure communication based on ambient audio. Schuermann, D.; and Sigg, S. IEEE Transactions on Mobile Computing, 12(2). 2013. doi.ieeecomputersociety.org/10.1109/TMC.2011.271
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  2012 (9)
Investigation of Context Prediction Accuracy for Different Context Abstraction Levels. Sigg, S.; Gordon, D.; Zengen, G. v.; Beigl, M.; Haseloff, S.; and David, K. IEEE Transactions on Mobile Computing, 11(6): 1047 -1059. june 2012.
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Calculation of functions on the RF-channel for IoT. Sigg, S.; Jakimovski, P.; and Beigl, M. In 3rd International Conference on the Internet of Things (IOT), pages 107-113, 2012.
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Collective Communication for Dense Sensing Environments. Jakimovski, P.; Schmidtke, H. R.; Sigg, S.; Weiss, L.; Chaves, F.; and Beigl, M. Journal of Ambient Intelligence and Smart Environments (JAISE), 4(2). 2012.
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AdhocPairing: Spontaneous audio based secure device pairing for Android mobile devices. Sigg, S.; Nguyen, L. N.; Huynh, A.; and Ji, Y. In Proceedings of the 4th International Workshop on Security and Privacy in Spontaneous Interaction and Mobile Phone Use, in conjunction with Pervasive 2012, June 2012.
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Passive detection of situations from ambient FM-radio signals. Shi, S.; Sigg, S.; and Ji, Y. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, of UbiComp '12, 2012.
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Activity recognition from Radio Frequency data: Multi-stage recognition and features. Shi, S.; Sigg, S.; and Ji, Y. In IEEE Vehicular Technology Conference (VTC Fall), 2012.
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Using ambient audio in secure mobile phone communication. Nguyen, L. N.; Sigg, S.; Huynh, A.; and Ji, Y. In Proceedings of the 10th IEEE International Conference on Pervasive Computing and Communications (PerCom), WiP session, March 2012.
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Pattern-based Alignment of Audio Data for Ad-hoc Secure Device Pairing. Nguyen, L. N.; Sigg, S.; Huynh, A.; and Ji, Y. In Proceedings of the 16th annual International Symposium on Wearable Computers (ISWC), June 2012.
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Activity recognition with implicit context classification. Sigg, S.; Zhong, L.; and Ji, Y. In Proceedings of the 5rd conference on Context Awareness for Proactive Systems (CAPS 2012), September 2012.
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  2011 (12)
Situation awareness based on channel measurements. Reschke, M.; Starosta, J.; Schwarzl, S.; and Sigg, S. In Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd, 2011.
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Feedback-Based Closed-Loop Carrier Synchronization: A Sharp Asymptotic Bound, an Asymptotically Optimal Approach, Simulations, and Experiments. Sigg, S.; Masri, R. M. E.; and Beigl, M. IEEE Transactions on Mobile Computing, 10(11): 1605-1617. Nov 2011.
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PINtext: A framework for secure communication based on context. Sigg, S.; Schuermann, D.; and Ji, Y. In Proceedings of the Eighth Annual International ICST Conference on Mobile and Ubiquitous Systems:Computing, Networking and Services (MobiQuitous 2011), 2011.
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SenseWaves: Radiowaves for context recognition. Scholz, M.; Sigg, S.; Shihskova, D.; von Zengen, G.; Bagshik, G.; Guenther, T.; Beigl, M.; and Ji, Y. In Video Proceedings of the 9th International Conference on Pervasive Computing (Pervasive 2011), 2011.
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An adaptive protocol for distributed beamforming. Sigg, S.; and Beigl, M. In 17. Fachtagung 'Kommunikation in Verteilten Systemen 2011' (KiVS11), March 2011.
An adaptive protocol for distributed beamforming [pdf]Paper   bibtex
Entropy of audio-fingerprints for unobtrusive device authentication. Sigg, S.; Budde, M.; Ji, Y.; and Beigl, M. In Proceedings of the 7th International and Interdisciplinary Conference on Modeling and Using Context, 2011.
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Context-based security: State-of-the-art, open research topics and a case study. Sigg, S. In Proceedings of the 5th ACM International workshop on Context-Awareness for Self-Managing Systems in conjunction with Ubicomp 2011, 2011.
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Receive Collaboration in Wireless Sensor Networks; Analyzing and Performance Evaluation . Banitalebi, B.; Sigg, S.; Gordon, D.; Miyaki, T.; and Beigl, M. In Proceedings of the 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems , 2011.
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Efficient adaptive communication from multiple resource restricted transmitters. Sigg, S.; Beigl, M.; and Banitalebi, B. of Organic Computing - A Paradigm Shift for Complex Systems, Autonomic Systems Series, Mueller-Schloer, C.; Schmeck, H.; and Ungerer, T., editor(s). 5.4. Springer, 2011.
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Using prediction to conserve energy in recognition on mobile devices. Gordon, D.; Sigg, S.; Ding, Y.; and Beigl, M. In Proceedings of the 9th IEEE International Conference on Pervasive Computing and Communications (PerCom2011), 2011.
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Collective Communication for Dense Sensing Environments. Jakimovski, P.; Becker, F.; Sigg, S.; Schmidtke, H. R.; and Beigl, M. In 7th IEEE International Conference on Intelligent Environments (IE), July 2011. (**Best paper**)
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Context awareness through the RF-channel. Reschke, M.; Schwarzl, S.; Starosta, J.; Sigg, S.; and Beigl, M. In Proceedings of the 2nd workshop on Context-Systems Design, Evaluation and Optimisation, 2011.
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  2010 (7)
An Alignment Approach for Context Prediction Tasks in UbiComp environments. Sigg, S.; Haseloff, S.; and David, K. IEEE Pervasive Computing, Oct-Dec 2010. 2010.
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DAG Based Context Reasoning: Optimised DAG Creation. Klein, N.; Sigg, S.; David, K.; and Beigl, M. In Proceedings of the first Workshop on Context-Systems Design, Evaluation and Optimisation, February 2010.
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Distributed adaptive expectation aware in-network context processing. Sigg, S.; and Beigl, M. In Proceedings of the 4th ACM International workshop on Context-Awareness for Self-Managing Systems in conjunction with Ubicomp 2010, September 2010.
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An organic computing protocol for collaborative transmission in a green Internet of Things. Sigg, S.; and Beigl, M. In Proceedings of the Internet of Things 2010 Conference, 2010.
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An asymptotically optimal approach to the distributed adaptive transmit beamforming in wireless sensor networks. Masri, R. M. E.; Sigg, S.; and Beigl, M. In Proceedings of the 16th European Wireless Conference, 2010.
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On the Feasibility of Receive Collaboration in Wireless Sensor Networks. Banitalebi, B.; Sigg, S.; and Beigl, M. In Proceedings of the 21st annual IEEE Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2010.
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Performance analysis of receive collaboration in TDMA-based Wireless Sensor Networks. Banitalebi, B.; Sigg, S.; and Beigl, M. In Proceedings of the fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (Ubicomm), 2010.
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  2009 (4)
An energy efficient collaborative transmission scheme. Sigg, S.; and Beigl, M. In Kommunikation in verteilten Sytemen (KIVS 2009), 2009.
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Algorithms for closed-loop feedback based distributed adaptive beamforming in wireless sensor networks. Sigg, S.; and Beigl, M. In Proceedings of the fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing - Symposium on Adaptive Sensing, Control, and Optimization in Sensor Networks, 2009.
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Algorithmic approaches to distributed adaptive transmit beamforming. Sigg, S.; and Beigl, M. In Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing - Symposium on Theoretical and Practical Aspects of Large-scale Wireless Sensor Networks, 2009.
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Limitations, performance and instrumentation of closed-loop feedback based distributed adaptive transmit beamforming in WSNs. Sigg, S.; Masri, R.; Ristau, J.; and Beigl, M. In Fifth International Conference on Intelligent Sensors, Sensor Networks and Information Processing - Symposium on Theoretical and Practical Aspects of Large-scale Wireless Sensor Networks, 2009.
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  2008 (6)
Development of a novel context prediction algorithm and analysis of context prediction schemes. Sigg, S. Ph.D. Thesis, University of Kassel, Chair for Communication Technology, ComTec, May 2008.
Development of a novel context prediction algorithm and analysis of context prediction schemes [pdf] paper   bibtex
Ein Vergleich von Varianten endlicher Quantenautomaten – Eine algorithmenorientierte Analyse. Sigg, S. VDM Verlag, 2008.
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Audio Fingerprinting in UbiComp Environments – Performance Measurements and Applications. Sigg, S.; Roehr, D.; Beuster, M.; and Beigl, M. In Proceedings of the fifth International Conference on Networked Sensing Systems (INSS'08), June 2008.
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Search Space Size and Context Prediction. Sigg, S.; Beuster, M.; Roehr, D.; and Beigl, M. In Proceedings of the fifth International Conference on Networked Sensing Systems (INSS'08), June 2008.
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Collaborative Transmission in WSNs by a (1+1)-EA. Sigg, S.; and Beigl, M. In Proceedings of the 8th International Workshop on Applications and Services in Wireless Networks (ASWN'08), September 2008.
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Randomised collaborative transmission of smart objects. Sigg, S.; and Beigl, M. In 2nd International Workshop on Design and Integration principles for smart objects (DIPSO2008) in conjunction with Ubicomp 2008, September 2008.
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  2007 (3)
Minimising the Context Prediction Error. Sigg, S.; Haseloff, S.; and David, K. In Proceedings of IEEE 65th Vehicular Technology Conference VTC2007-Spring (VTC-2007 Spring), April 22-25 2007.
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Approaching a Definition of Context Prediction. Sigg, S.; Lau, S. L.; Haseloff, S.; and David, K. In Proceedings of the Third Workshop on Context Awareness for Proactive Systems (CAPS'07), June 18-19 2007.
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A study on context prediction and adaptivity. Sigg, S.; Haseloff, S.; and David, K. In Proceedings of the International Workshop on Context Modeling and Management for Smart Environments (CMMSE'07), October 2007.
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  2006 (6)
A Flexible Architecture For Context Aware Applications. Sigg, S.; Loeffler, T.; Haseloff, S.; and David, K. In SAKS, 2006.
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The Quick Step to Foxtrot. Loeffler, T.; Sigg, S.; Haseloff, S.; and David, K. In David, K.; Droegehorn, O.; and Haseloff, S., editor(s), Proceedings of the Second Workshop on Context Awareness for Proactive Systems (CAPS 2006), June 12-13 2006. Kassel University press
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The Impact of the Context Interpretation Error on the Context Prediction Accuracy. Sigg, S.; Haseloff, S.; and David, K. In Proceedings of the 3rd Annual International Conference on Mobile and Ubiquitous Systems: Networks and Services (MOBIQUITOUS 2006), July 17-21 2006.
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A novel approach to context prediction in ubicomp environments. Sigg, S.; Haseloff, S.; and David, K. In Proceedings of the 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2006), September 11-14 2006.
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Context Prediction by Alignment Methods. Sigg, S.; Haseloff, S.; and David, K. In Poster Proceedings of the 4th International Conference on Mobile Systems, Applications, and Services (MobiSys 2006), June 19-22 2006.
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Optimum Resource Allocation in HSDPA. Sigg, S.; and David, K. In Proceedings of the 12th European Wireless Conference: Enabling Technologies for Wireless Multimedia Communications (EW 2006), April 2006.
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  2004 (1)
Ein Vergleich verschiedener Varianten endlicher Quanten-Automaten. Sigg, S. Master's Thesis, University of Dortmund, August 2004.
Ein Vergleich verschiedener Varianten endlicher Quanten-Automaten [pdf] paper   bibtex

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