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
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
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
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
Spectrum-aware Human-Centric Sensing (HCS) using mmWave radars
Dariush Salami
2024
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
Safe DQN-Based AoI-Minimal Task Offloading for UAV-Aided Edge Computing System
Hui Zhao, Gengyuan Lu, Ying Liu, Zheng Chang, Li Wang, Timo Hamalainen
2024
IEEE Internet of Things Journal
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