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.
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.
Contact
The research group is led by Professor Stephan Sigg.
Group members
Latest publications
Ambient Intelligence, Department of Communications and Networking
On the Use of Stray Wireless Signals for Sensing: A Look beyond 5G for the Next Generation of Industry
Publishing year: 2019
COMPUTER
Department of Communications and Networking, Ambient Intelligence
Wireless Multifrequency Feature Set to Simplify Human 3D Pose Estimation
Publishing year: 2019
IEEE Antennas and Wireless Propagation Letters
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
Department of Communications and Networking, Ambient Intelligence
Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates
Publishing year: 2019
ACM TRANSACTIONS ON THE WEB
Department of Communications and Networking, Ambient Intelligence
Closed-Eye Gaze Gestures
Publishing year: 2019
Department of Communications and Networking, Ambient Intelligence
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest
Publishing year: 2019
Department of Communications and Networking, Ambient Intelligence
Security Properties of Gait for Mobile Device Pairing
Publishing year: 2019
IEEE Transactions on Mobile Computing
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