Publications (10)
Efficient Wi-Fi Sensing for IoT Forensics with Lossy Compression of CSI Data
Paolo Cerutti, Fabio Palmese, Marco Cominelli +1
Wi-Fi sensing is an emerging technology that uses channel state information (CSI) from ambient Wi-Fi signals to monitor human activity without the need for dedicated sensors. Wi-Fi…
Cross-Link Channel Prediction for Massive IoT Networks
Kun Woo Cho, Marco Cominelli, Francesco Gringoli +2
Tomorrow's massive-scale IoT sensor networks are poised to drive uplink traffic demand, especially in areas of dense deployment. To meet this demand, however, network designers lev…
Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
Alessandro Pagani, Marco Cominelli, Liying Han +11
This paper presents a preliminary analysis of the ability of Chronos foundation model to process and internally represent frequency domain information. Foundation models that proce…
EgoLife: Towards Egocentric Life Assistant
Jingkang Yang, Shuai Liu, Hongming Guo +19
We introduce EgoLife, a project to develop an egocentric life assistant that accompanies and enhances personal efficiency through AI-powered wearable glasses. To lay the foundation…
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System
Marco Cominelli, Paul Patras, Francesco Gringoli
The recently released Bluetooth 5.1 specification introduces fine-grained positioning capabilities in this wireless technology, which is deemed essential to context-/location-based…
Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction
Luca Cotti, Luca Lavazza, Marco Cominelli +10
We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the joint requirements of causal interpretability, symbolic controllability, and d…