Bigelli, Leonardo
Bigelli, Leonardo
Dipartimento di Scienze Pure e Applicate (DiSPeA)
Can Deep Learning Infer Age, Height, and Weight from Human Activity Sensor Data?
2026 Bigelli, Leonardo; Bogliolo, Alessandro; Lattanzi, Emanuele
Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition?
2025 Bigelli, L.; Bogliolo, A.; Calisti, L.; Capellacci, P.; Contoli, C.; Kania, N.; Lattanzi, E.
IMU50: a high-frequency multi-modal wrist-worn IMU dataset of 50 subjects over 5 continuous days for supervised and self-supervised learning in free-living conditions
2026 La Fratta, Irene; Calisti, Lorenzo; Bigelli, Leonardo; Chiacchiaretta, Piero; Mascitelli, Alessandra; D'Ardes, Damiano; Carlo, Piero Di; Lucertini, Francesco; Ferretti, Antonio; Lattanzi, Emanuele; Franciotti, Raffaella
Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices
2024 Bigelli, Leonardo; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele
Semantic Segmentation of Inertial Signals for Human Activity Recognition in Mobile Devices
2026 Kania, Nicholas; Bigelli, Leonardo; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele
Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT
2026 Bigelli, L.; Bogliolo, A.; Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E.
Temporal Distance based Self-Supervised Learning for Human Activity Recognition
2025 Bigelli, L.; Contoli, C.; Kania, N.; Lattanzi, E.
Tokenization of IMU Signals for LLMs-Based Human Activity Recognition
In corso di stampa Bigelli, Leonardo; Lattanzi, Emanuele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Can Deep Learning Infer Age, Height, and Weight from Human Activity Sensor Data? | 1-gen-2026 | Bigelli, Leonardo; Bogliolo, Alessandro; Lattanzi, Emanuele | |
| Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition? | 1-gen-2025 | Bigelli, L.; Bogliolo, A.; Calisti, L.; Capellacci, P.; Contoli, C.; Kania, N.; Lattanzi, E. | |
| IMU50: a high-frequency multi-modal wrist-worn IMU dataset of 50 subjects over 5 continuous days for supervised and self-supervised learning in free-living conditions | 1-gen-2026 | La Fratta, Irene; Calisti, Lorenzo; Bigelli, Leonardo; Chiacchiaretta, Piero; Mascitelli, Alessandra; D'Ardes, Damiano; Carlo, Piero Di; Lucertini, Francesco; Ferretti, Antonio; Lattanzi, Emanuele; Franciotti, Raffaella | |
| Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices | 1-gen-2024 | Bigelli, Leonardo; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele | |
| Semantic Segmentation of Inertial Signals for Human Activity Recognition in Mobile Devices | 1-gen-2026 | Kania, Nicholas; Bigelli, Leonardo; Contoli, Chiara; Freschi, Valerio; Lattanzi, Emanuele | |
| Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT | 1-gen-2026 | Bigelli, L.; Bogliolo, A.; Calisti, L.; Contoli, C.; Kania, N.; Lattanzi, E. | |
| Temporal Distance based Self-Supervised Learning for Human Activity Recognition | 1-gen-2025 | Bigelli, L.; Contoli, C.; Kania, N.; Lattanzi, E. | |
| Tokenization of IMU Signals for LLMs-Based Human Activity Recognition | In corso di stampa | Bigelli, Leonardo; Lattanzi, Emanuele |