2 citations · 2 across the 3 of their papers we have counts for
7 papers
Sparse Spike Encoding of Channel Responses for Energy Efficient Human Activity Recognition
Eleonora Cicciarella, Riccardo Mazzieri, Jacopo Pegoraro +1
ISAC enables pervasive monitoring, but modern sensing algorithms are often too complex for energy-constrained edge devices. This motivates the development of learning techniques th…
Machine Learning on the Edge for Sustainable IoT Networks: A Systematic Literature Review
Luisa Schuhmacher, Jimmy Fernandez Landivar, Ihsane Gryech +3
The Internet of Things (IoT) has become integral to modern technology, enhancing daily life and industrial processes through seamless connectivity. However, the rapid expansion of…
Convolutional Spiking-based GRU Cell for Spatio-temporal Data
Yesmine Abdennadher, Eleonora Cicciarella, Michele Rossi
Spike-based temporal messaging enables SNNs to efficiently process both purely temporal and spatio-temporal time-series or event-driven data. Combining SNNs with Gated Recurrent Un…
Toward Multiband Sensing in FR3: Frequency Anisotropy Characterization and Non-Contiguous Bands Aggregation Algorithms
Jacopo Pegoraro, Gianmaria Ventura, Dario Tagliaferri +4
Frequency Range 3 (FR3) in the 7-24 GHz band will be the new spectrum for 6G wireless networks. The bandwidth availability and diversity of FR3 offer unprecedented opportunities fo…
Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
Riccardo Mazzieri, Eleonora Cicciarella, Jacopo Pegoraro +2
Radar-based Human Activity Recognition (HAR) offers privacy and robustness over camera-based methods, yet remains computationally demanding for edge deployment. We present the firs…
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Riccardo Mazzieri, Jacopo Pegoraro, Michele Rossi
The adoption of Millimeter-Wave (mmWave) radar devices for human sensing, particularly gait recognition, has recently gathered significant attention due to their efficiency, resili…