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

Muneeba Raja

Department of Communications and Networking
Doctoral Candidate
[email protected]
Stephan Sigg

Stephan Sigg

Department of Communications and Networking
Professor (Associate Professor)
[email protected]
+358504666941

Le Nguyen

Department of Communications and Networking
Doctoral Candidate
[email protected]

Si-Ahmed Naas

Department of Communications and Networking
Doctoral Candidate
358417234333

Sameera Palipana

Department of Communications and Networking
Postdoctoral Researcher
[email protected]

Si Zuo

Department of Communications and Networking
Doctoral Candidate

Latest publications

Department of Communications and Networking, Ambient Intelligence

Security Properties of Gait for Mobile Device Pairing

Publishing year: 2019 IEEE Transactions on Mobile Computing
Department of Communications and Networking, Ambient Intelligence

Closed-Eye Gaze Gestures

Publishing year: 2019
Ambient Intelligence, Department of Communications and Networking, Network Security and Trust

Hide my Gaze with EOG!

Publishing year: 2019
Ambient Intelligence, Department of Communications and Networking

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

Publishing year: 2019
Department of Computer Science, Department of Neuroscience and Biomedical Engineering, Ambient Intelligence, Department of Communications and Networking

Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses

Publishing year: 2019
Helsinki Institute for Information Technology HIIT, Department of Computer Science, Professorship Kaski S., Department of Communications and Networking, Professorship Kaski K., Ambient Intelligence

Mobile Brainwaves

Publishing year: 2019 IEICE Transactions on Communications
Ambient Intelligence, Department of Communications and Networking

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

Publishing year: 2019
Ambient Intelligence, Department of Communications and Networking

Learning with Vertically-Partitioned Data, Binary Feedback, and Random Parameter Update

Publishing year: 2019
Department of Communications and Networking, Ambient Intelligence

Extracting Human Context Through Receiver-End Beamforming

Publishing year: 2019 IEEE Access
Ambient Intelligence, Department of Communications and Networking

Receiver-side beamforming to isolate channel perturbations from a human target in a device-free setting

Publishing year: 2019
More information on our research in the Research database.
Research database
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