List of works - Andrea Mannini

A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.

scientific article published on 21 January 2016

A hidden Markov model-based technique for gait segmentation using a foot-mounted gyroscope

scientific article

Accelerometry-based Recognition of the Placement Sites of a Wearable Sensor

scientific article published in August 2015

Accelerometry-based classification of human activities using Markov modeling.

scientific article published on 04 September 2011

Activity Recognition in Youth Using Single Accelerometer Placed at Wrist or Ankle.

scientific article published on 3 November 2016

Activity recognition using a single accelerometer placed at the wrist or ankle

scientific article

Ambulatory Assessment of Instantaneous Velocity during Walking Using Inertial Sensor Measurements.

scientific article published on 21 December 2016

Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network

scientific article published on 23 September 2019

Assessment of Biomechanical Response to Fatigue through Wearable Sensors in Semi-Professional Football Referees

scientific article published on 24 December 2020

Automatic classification of gait in children with early-onset ataxia or developmental coordination disorder and controls using inertial sensors.

scientific article published on 02 December 2016

Classifier Personalization for Activity Recognition Using Wrist Accelerometers

scientific article published on 12 September 2018

Critical illness-polyneuromyopathy: functional impact after severe Acquired Brain Injuries

scientific article published on 01 August 2020

EEG asymmetry detection in patients with severe acquired brain injuries via machine learning methods

scientific article published in 2023

Evaluation of time-frequency features as detectors of lack of balance due to tripping-like perturbations

scientific article published on 01 July 2019

Fourier-based integration of quasi-periodic gait accelerations for drift-free displacement estimation using inertial sensors

scientific article

Gait phase detection and discrimination between walking-jogging activities using hidden Markov models applied to foot motion data from a gyroscope

scientific article

Grasp force estimation from the transient EMG using high-density surface recordings

scientific article published on 12 February 2020

Hidden Markov model-based strategy for gait segmentation using inertial sensors: Application to elderly, hemiparetic patients and Huntington's disease patients.

scientific article published in August 2015

Machine learning methods for classifying human physical activity from on-body accelerometers.

scientific article published in February 2010

On-line classification of human activity and estimation of walk-run speed from acceleration data using support vector machines ⬇️

scientific article published on January 1, 2011

Online decoding of hidden Markov models for gait event detection using foot-mounted gyroscopes

scientific article published in July 2014

Optimal Spatial Sensor Design for Magnetic Tracking in a Myokinetic Control Interface

scientific article published on 09 September 2021

Physical activity characterization: does one site fit all?

scientific article published on 24 September 2018

Prior-to- and Post-Impact Fall Detection Using Inertial and Barometric Altimeter Measurements.

scientific article published on 30 July 2015

Walking speed estimation using foot-mounted inertial sensors: comparing machine learning and strap-down integration methods.

scientific article published on 5 September 2014

List of works by Andrea Mannini

A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.

A hidden Markov model-based technique for gait segmentation using a foot-mounted gyroscope

Accelerometry-based Recognition of the Placement Sites of a Wearable Sensor

Accelerometry-based classification of human activities using Markov modeling.

Activity Recognition in Youth Using Single Accelerometer Placed at Wrist or Ankle.

Activity recognition using a single accelerometer placed at the wrist or ankle

Ambulatory Assessment of Instantaneous Velocity during Walking Using Inertial Sensor Measurements.

Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network

Assessment of Biomechanical Response to Fatigue through Wearable Sensors in Semi-Professional Football Referees

Automatic classification of gait in children with early-onset ataxia or developmental coordination disorder and controls using inertial sensors.

Classifier Personalization for Activity Recognition Using Wrist Accelerometers

Critical illness-polyneuromyopathy: functional impact after severe Acquired Brain Injuries

EEG asymmetry detection in patients with severe acquired brain injuries via machine learning methods

Evaluation of time-frequency features as detectors of lack of balance due to tripping-like perturbations

Fourier-based integration of quasi-periodic gait accelerations for drift-free displacement estimation using inertial sensors

Gait phase detection and discrimination between walking-jogging activities using hidden Markov models applied to foot motion data from a gyroscope

Grasp force estimation from the transient EMG using high-density surface recordings

Hidden Markov model-based strategy for gait segmentation using inertial sensors: Application to elderly, hemiparetic patients and Huntington's disease patients.

Machine learning methods for classifying human physical activity from on-body accelerometers.

On-line classification of human activity and estimation of walk-run speed from acceleration data using support vector machines ⬇️

Online decoding of hidden Markov models for gait event detection using foot-mounted gyroscopes

Optimal Spatial Sensor Design for Magnetic Tracking in a Myokinetic Control Interface

Physical activity characterization: does one site fit all?

Prior-to- and Post-Impact Fall Detection Using Inertial and Barometric Altimeter Measurements.

Walking speed estimation using foot-mounted inertial sensors: comparing machine learning and strap-down integration methods.