Angelo maria Sabatini | Scuola Superiore Sant'Anna

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Sant'Anna - School of Advanced Studies Pisa

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Publications

Pinna, Laura; Mannini, Andrea; Sabatini, Angelo Maria; C., Dolciotti; P., Bongioanni; F., Saponara; G., De Petris

Comparison between methods for gait events detection in Parkinson's disease Open new browser tab

(2016)
Ligorio, Gabriele; Bergamini, Elena; Pasciuto, Ilaria; Vannozzi, Giuseppe; Cappozzo, Aurelio; Sabatini, Angelo Maria

Assessing the performance of sensor fusion methods: Application to magnetic-inertial-based human body tracking Open new browser tab

(2016)
Mannini, Andrea; Trojaniello, D.; Croce, U. Della; Sabatini, Angelo Maria

Automatic recognition of altered gait using wearable inertial sensors Open new browser tab

(2016)
Sabatini, Angelo Maria; Ligorio, Gabriele; Mannini, Andrea; Genovese, Vincenzo; Pinna, Laura

Prior-to-and post-impact fall detection using inertial and barometric altimeter measurements Open new browser tab

(2016)
Sabatini, Angelo Maria; Mannini, Andrea

Ambulatory assessment of instantaneous velocity during walking using inertial sensor measurements Open new browser tab

(2016)
Mannini, Andrea; Trojaniello, Diana; Cereatti, Andrea; Sabatini, Angelo Maria

A machine learning framework for gait classification using inertial sensors: Application to elderly, post-stroke and huntington’s disease patients Open new browser tab

(2016)
Genovese, Vincenzo; Mannini, Andrea; Sabatini, Angelo Maria

Step counting for slow and intermittent ambulation based on a smartwatch accelerometer Open new browser tab

(2016)
Ligorio, Gabriele; Sabatini, Angelo Maria

A novel Kalman filter for human motion tracking with an inertial-based dynamic inclinometer Open new browser tab

(2015)
Mannini, Andrea; Sabatini, Angelo Maria

A smartphone-centered wearable sensor network for fall risk assessment in the elderly Open new browser tab

(2015)
Sabatini, Angelo Maria; Ligorio, Gabriele; Mannini, Andrea

Fourier‑based integration of quasi‑periodic gait accelerations for drift‑free displacement estimation using inertial sensors Open new browser tab

(2015)