Zanghieri, Marcello; Indirli, Fabrizio; Latella, Antonio; Puglia, Giacomo Michele; Tecce, Felice; Papariello, Francesco; Urlini, Giulio; Benini, Luca; Conti, Francesco, An Extreme-Edge TCN-Based Low-Latency Collision-Avoidance Safety System for Industrial Machinery, «IEEE ACCESS», 2024, 12, Article number: 10412026 , pp. 16009 - 16021 [Scientific article]Open Access
Zanghieri, Marcello; Rapa, Pierangelo Maria; Orlandi, Mattia; Donati, Elisa; Benini, Luca; Benatti, Simone, Event-based Estimation of Hand Forces from High-Density Surface EMG on a Parallel Ultra-Low-Power Microcontroller, «IEEE SENSORS JOURNAL», 2024, 1, Article number: 10422755 , pp. 1 - 10 [Scientific article]Open Access
Orlandi, Mattia; Rapa, Pierangelo Maria; Zanghieri, Marcello; Frey, Sebastian; Kartsch, Victor; Benini, Luca; Benatti, Simone, An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor, in: IEEE BioCAS Conference Proceedings 2023, 2023, pp. 1 - 5 (atti di: IEEE BioCAS Conference 2023, Toronto (CA), 19-21 October 2023) [Contribution to conference proceedings]
Zanghieri, M; Benatti, S; Benini, L; Donati, Elisa, Event-based Low-Power and Low-Latency Regression Method for Hand Kinematics from Surface EMG, in: 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2023, pp. 293 - 298 (atti di: 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), Monopoli (BA), 8-9 giugno 2023) [Contribution to conference proceedings]
Zanghieri, Marcello; Orlandi, Mattia; Donati, Elisa; Gruppioni, Emanuele; Benini, Luca; Benatti, Simone, Online Unsupervised Arm Posture Adaptation for sEMG-based Gesture Recognition on a Parallel Ultra-Low-Power Microcontroller, in: 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023, pp. 1 - 5 (atti di: 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, ON, Canada, 19-21 October 2023) [Contribution to conference proceedings]
Mattia Orlandi, Marcello Zanghieri, Davide Schiavone, Elisa Donati, Francesco Conti, Simone Benatti, Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition, in: SYSINT 2022: Advances in System-Integrated Intelligence, Springer, 2022, pp. 518 - 529 (atti di: SYSINT 2022, Genova (IT), 7-9 September 2022) [Contribution to conference proceedings]
Mattia Orlandi, Marcello Zanghieri, Victor Javier Kartsch Morinigo, Francesco Conti, Davide Schiavone, Luca Benini, Simone Benatti, sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor. In: Biomedical Circuits and Systems, in: IEEE BioCAS Conference Proceedings 2022, 2022, pp. 704 - 708 (atti di: IEEE BioCAS Conference 2022, Taipei (TW), 13-15 October 2022) [Contribution to conference proceedings]
Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L., A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contribution to conference proceedings]
Conti F., Indirli F., Latella A., Puglia G. M., Tecce F., Urlini G., Zanghieri M., AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery, in: Artificial Intelligence for Digitising Industry, Gistrup, River Publishers, 2021, pp. 187 - 204 [Chapter or essay]
Zanghieri M.; Burrello A.; Benatti S.; Schindler K.; Benini L., Low-latency detection of epileptic seizures from IEEG with temporal convolutional networks on a low-power parallel MCU, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contribution to conference proceedings]
Zanghieri M.; Menichetti G.; Retico A.; Calderoni S.; Castellani G.; Remondini D., Node centrality measures identify relevant structural MRI features of subjects with autism, «BRAIN SCIENCES», 2021, 11, Article number: 498 , pp. 1 - 15 [Scientific article]Open Access
Seyedkazemi Ardebili M.; Zanghieri M.; Burrello A.; Beneventi F.; Acquaviva A.; Benini L.; Bartolini A., Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks, in: Proceedings -Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1256 - 1259 (atti di: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, Europe - Virtual, 2021) [Contribution to conference proceedings]
Zanghieri M.; Benatti S.; Burrello A.; Kartsch Morinigo V.J.; Meattini R.; Palli G.; Melchiorri C.; Benini L., SEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contribution to conference proceedings]Open Access
Burrello A.; Zanghieri M.; Sarti C.; Ravaglia L.; Benatti S.; Benini L., Tackling time-variability in semg-based gesture recognition with on-device incremental learning and temporal convolutional networks, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contribution to conference proceedings]
Burrello A.; Dequino A.; Pagliari D.J.; Conti F.; Zanghieri M.; MacIi E.; Benini L.; Poncino M., TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference, in: Proceedings of the International Symposium on Low Power Electronics and Design, NEW YORK, Institute of Electrical and Electronics Engineers Inc., 2021, 2021, pp. 1 - 6 (atti di: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, Stati Uniti D'America, 2021) [Contribution to conference proceedings]Open Access
Alessio Burrello; Alberto Dequino; Daniele Jahier Pagliari; Francesco Conti; Marcello Zanghieri; Enrico Macii; Luca Benini; Massimo Poncino, TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference, in: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2021, 2021-July, pp. 1 - 6 (atti di: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Boston, MA, USA, 26-28 July 2021) [Contribution to conference proceedings]
