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.

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Contact

The research group is led by Professor Stephan Sigg.

Sahar Golipoor

Visiting Doctoral Researcher

Latest publications

Radial pulse rate estimation from brightness-mode ultrasound imaging

Nima Bahmani, Titus Kärkkäinen, Janne Kantola, Oula Aarela, Otso Häkkänen, Venla Turakainen, Viktor Nässi, Tuukka Panula, Ivan Vujaklija, Stephan Sigg, Craig S. Carlson 2025 Current Directions in Biomedical Engineering

Tracking Radial Artery Dynamics Using Brightness-Mode Ultrasound and Video Analysis

Nima Bahmani, Titus Kärkkäinen, Janne Kantola, Oula Aarela, Otso Häkkänen, Venla Turakainen, Tuukka Panula, Ivan Vujaklija, Stephan Sigg, Viktor Nässi, Craig S. Carlson 2025 UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Wearable Non-Invasive Arterial Pulse Detection with a Millimeter-wave Radar

Nima Bahmani, Dariush Salami, Hüseyin Yiğitler, Juhapekka Hietala, Tuukka Panula, Stephan Sigg 2025 ISWC 2025 - Proceedings of the 2025 ACM International Symposium on Wearable Computers

Dynamic UAV Deployment in Multi-UAV Wireless Networks: A Multi-Modal Feature-Based Deep Reinforcement Learning Approach

Yu Bai, Boxuan Xie, Ying Liu, Zheng Chang, Riku Jäntti 2025 IEEE Internet of Things Journal

On the Challenge of Generating Multivariate Time Series Data from Distributed Sensors in IoT-enabled Scenarios

Julián Jerónimo Bañuelos, Jose Costa-Requena, Jiayuan He, Flora D. Salim, Stephan Sigg 2025 IoT 2024 - Proceedings of the 14th International Conference on the Internet of Things

Introduction to the Special Issue on LLM Empowered Internet of Things Part 1

Wei Dong, Jiliang Wang, Stephan Sigg, Luca Mottola 2025 ACM Transactions on Internet of Things

Special Issue on LLM Empowered Internet of Things Part 1 (ACM Transactions on Internet of Things)

Mo Li, Wei Dong, Jiliang Wang, Stephan Sigg, Luca Mottola 2025 ACM Transactions on the Internet of Things

Generating data of an absent sensor from correlated sources

Quang Ngo, Julian Jeronimo Banuelos, Stephan Sigg 2025

Transient Authentication from First-Person-View Video

Le Ngu Nguyen, Rainhard Dieter Findling, Maija Poikela, Si Zuo, Stephan Sigg 2025 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

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
More information on our research in the Aalto research portal.
Research portal
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