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

Direction-agnostic gesture recognition system using commercial WiFi devices

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

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

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 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

Fast converging Federated Learning with Non-IID Data

Si Ahmed Naas, Stephan Sigg 2023 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings

A Joint Radar and Communication Approach for 5G NR using Reinforcement Learning

Dariush Salami, Wanru Ning, Kalle Ruttik, Riku Jantti, Stephan Sigg 2023 IEEE Communications Magazine

Tesla-Rapture

Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg 2023 IEEE Transactions on Mobile Computing

Water quality analysis using mmWave radars

Dariush Salami, Anni Juvakoski, Riku Vahala, Michael Beigl, Stephan Sigg 2023 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023
More information on our research in the Aalto research portal.
Research portal
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