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
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
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
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
Towards Green Edge Intelligence
Sami Ben Cheikh, Stephan Sigg
2024
IoT 2023 - Proceedings of the 13th International Conference on the Internet of Things
Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge “Awareness Inside”
Cosimo Della Santina, Carlos Hernandez Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D’Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
2024
European Robotics Forum 2024 - 15th ERF
Environment and Person-independent Gesture Recognition with Non-static RFID Tags Leveraging Adaptive Signal Segmentation
Sahar Golipoor, Stephan Sigg
2024
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
RFID-based Human Activity Recognition Using Multimodal Convolutional Neural Networks
Sahar Golipoor, Stephan Sigg
2024
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024