Department of Communications and Networking

Ambient Intelligence

The group studies efficient algorithms that enable intelligent spaces and interaction, including on-body and environmental sensing, usable security, optimization and machine learning methods.
Ambient Intelligence

The group develops algorithms for Pervasive and Mobile Systems, in particular with regard to Activity Recognition and Usable Security. The algorithms are analysed, and optimized with respect to constraints in mobile and pervasive environments and their performance is empirically verified in rigorous experimental studies. The results are regularly demonstrated through instrumentations ranging from mobile devices to prototype sensing hardware.

Group homepage

Contact

The research group is led by Professor Stephan Sigg.

Group members

Muneeba Raja

Doctoral candidate
[email protected]

Stephan Sigg

Associate professor
[email protected]
+358504666941

Le Nguyen

Doctoral candidate
[email protected]

Si-Ahmed Naas

Doctoral candidate
[email protected]
+358417234333

Sameera Palipana

Tutkijatohtori
[email protected]

Si Zuo

Doctoral candidate
[email protected]

Latest publications

Security Properties of Gait for Mobile Device Pairing

Arne Brusch, Le Nguyen, Dominik Schürmann, Stephan Sigg, Lars Wolf 2020 IEEE Transactions on Mobile Computing

Contactless Body Movement Recognition during Sleep via WiFi Signals

Yangjie Cao, Fuchao Wang, Xinxin Lu, Nan Lin, Bo Zhang, Zhi Liu, Stephan Sigg 2020 IEEE Internet of Things Journal

A Structured Measurement of Highly Synchronous Real-Time Ballistocardiography Signal Data of Heart Failure Patients

Nico Jähne-Raden, Udo Bavendiek, Henrike Gütschleg, Ulf Kulau, Stephan Sigg, Marie Wolf, Tanja Zeppernick, Michael Marschollek 2020 Digital Personalized Health and Medicine

3D Head Motion Detection Using Millimeter-Wave Doppler Radar

Muneeba Raja, Zahra Vali, Sameera Palipana, David G. Michelson, Stephan Sigg 2020 IEEE Access

Closed-Eye Gaze Gestures

Rainhard Dieter Findling, Le Ngu Nguyen, Stephan Sigg 2019 Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings

Hide my Gaze with EOG!

Rainhard Findling, Tahmid Quddus, Stephan Sigg 2019 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)

Tennis Stroke Classification: Comparing Wrist and Racket as IMU Sensor Position

Rainhard Findling, Christopher J. Ebner 2019 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)

Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses

Eira Friström, Elias Lius, Niki Ulmanen, Pekka Hietala, Pauliina Kärkkäinen, Tommi Mäkinen, Stephan Sigg, Rainhard Findling 2019 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)

Mobile Brainwaves

Eeva-Sofia Haukipuro, Ville Kolehmainen, Janne Myllärinen, Sebastian Remander, Janne Salo, Tuomas Takko, Le Nguyen, Stephan Sigg, Rainhard Findling 2019 IEICE Transactions on Communications

CORMORANT: On Implementing Risk-Aware Multi-Modal Biometric Cross-Device Authentication For Android

Daniel Hintze, Matthias Füller, Sebastian Scholz, Rainhard Findling, Muhammad Muaaz, Philipp Kapfer, Wilhelm Nüßer, Rene Mayrhofer 2019 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
More information on our research in the Research database.
Research database
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