Department of Information and Communications Engineering

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.

Sahar Golipoor

Visiting Doctoral Researcher

Latest publications

Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources

Julián Jerónimo Bañuelos, Stephan Sigg, Jiayuan He, Flora Salim, Jose Costa-Requena 2024 NetAISys 2024 - Proceedings of the 2024 2nd International Workshop on Networked AI Systems

Towards Green Edge Intelligence

Sami Ben Cheikh, Stephan Sigg 2024 IoT 2023 - Proceedings of the 13th International Conference on the Internet of Things

Replicability and reproducibility of data-intensive design research using workflows - example in facial expression synchrony as a measure of empathy

Arsi Ikäheimonen, Jie Li, Kai Yao, Si Zuo, Talayeh Aledavood, Katja Hölttä-Otto 2024 Journal of Engineering Design

Direction-agnostic gesture recognition system using commercial WiFi devices

Yuxi Qin, Stephan Sigg, Su Pan, Zibo Li 2024 Computer Communications

Angle-Agnostic Radio Frequency Sensing Integrated into 5G-NR

Dariush Salami, Ramin Hasibi, Stefano Savazzi, Tom Michoel, Stephan Sigg 2024 IEEE Sensors Journal

A Paradigm Shift from an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis

Sahil Waqar, Muhammad Muaaz, Stephan Sigg, Matthias Patzold 2024 IEEE Sensors Journal

Message from the general and tpc co-chairs

Abhishek Dubey, Niki Trigoni, Aron Laszka, Stephan Sigg 2023 2023 IEEE International Conference on Smart Computing (SMARTCOMP)

Accurate RF-sensing of complex gestures using RFID with variable phase-profiles

Sahar Golipoor, Stephan Sigg 2023 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
More information on our research in the Aalto research portal.
Research portal
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