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


The research group is led by Professor Stephan Sigg.

Sahar Golipoor

Visiting Doctoral Researcher

Latest publications

Towards Green Edge Intelligence

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

Direction-agnostic gesture recognition system using commercial WiFi devices

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

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

An Application Programming Interface for Android to support dedicated 5G network slicing

Julián Jerónimo Bañuelos, Jose Costa-Requena, Jiayuan He, Flora Salim, Stephan Sigg 2023 IoT 2023 - Proceedings of the 13th International Conference on the Internet of Things

Detecting an Ataxia-Type Disease from Acceleration Data

Eileen Kranzle, Stephan Sigg 2023 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

Introduction to the Special Issue on Wireless Sensing for IoT

Huadong Ma, Yuan He, Mo Li, Neal Patwari, Stephan Sigg 2023 ACM Transactions on the Internet of Things

Knowledge Sharing in AI Services: A Market-based Approach

Thaha Mohammed, Si-Ahmed Naas, Stephan Sigg, Mario Di Francesco 2023 IEEE Internet of Things Journal
More information on our research in the Aalto research portal.
Research portal
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