Simple and robust BSN-based activity classification: winning the first BSN contest. - Matteo Giuberti; Gianluigi Ferrari 001 (ISABEL, 2011)

Fingerprinting-based wireless 3D localization for motion capture applications. - Matteo Giuberti; Marco Martalò; Gianluigi Ferrari 001 (MobileHealth@MobiHoc, 2011)

On the characterization of Leg Agility in patients with Parkinson's Disease. - Matteo Giuberti; Gianluigi Ferrari 001; Laura Contin; Veronica Cimolin; Nicola Cau; Manuela Galli; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (BSN, 2013)

Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians. - Federico Parisi; Matteo Giuberti; Gianluigi Ferrari 001; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (BODYNETS, 2014)

Linking UPDRS Scores and Kinematic Variables in the Leg Agility Task of Parkinsonians. - Matteo Giuberti; Gianluigi Ferrari 001; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (BSN, 2014)

On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians. - Federico Parisi; Gianluigi Ferrari 001; Veronica Cimolin; Matteo Giuberti; Corrado Azzaro; Giovanni Albani; Laura Contin; Alessandro Mauro (BSN, 2015)

Assigning UPDRS Scores in the Leg Agility Task of Parkinsonians: Can It Be Done Through BSN-Based Kinematic Variables? - Matteo Giuberti; Gianluigi Ferrari 001; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (IEEE Internet Things J., 2015)

A hybrid radio/accelerometric approach to arm posture recognition. - Matteo Giuberti; Marco Martalò; Gianluigi Ferrari 001 (J. Ambient Intell. Smart Environ., 2015)

Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task. - Matteo Giuberti; Gianluigi Ferrari 001; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (IEEE J. Biomed. Health Informatics, 2015)

Body-Sensor-Network-Based Kinematic Characterization and Comparative Outlook of UPDRS Scoring in Leg Agility, Sit-to-Stand, and Gait Tasks in Parkinson's Disease. - Federico Parisi; Gianluigi Ferrari 001; Matteo Giuberti; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (IEEE J. Biomed. Health Informatics, 2015)

A low-complexity activity classification algorithm with optimized selection of accelerometric features. - Matteo Giuberti; Gianluigi Ferrari 001 (J. Ambient Intell. Smart Environ., 2016)

Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach? - Frank J. Wouda; Matteo Giuberti; Giovanni Bellusci; Peter H. Veltink (Sensors, 2016)

Inertial BSN-Based Characterization and Automatic UPDRS Evaluation of the Gait Task of Parkinsonians. - Federico Parisi; Gianluigi Ferrari 001; Matteo Giuberti; Laura Contin; Veronica Cimolin; Corrado Azzaro; Giovanni Albani; Alessandro Mauro (IEEE Trans. Affect. Comput., 2016)

On the Validity of Different Motion Capture Technologies for the Analysis of Running. - Frank J. Wouda; Matteo Giuberti; Giovanni Bellusci; Erik Maartens; Jasper Reenalda; Bert-Jan van Beijnum; Peter H. Veltink (BioRob, 2018)

Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter. - Frank J. Wouda; Matteo Giuberti; Giovanni Bellusci; Bert-Jan F. van Beijnum; Peter H. Veltink (AAAI, 2019)

Time Coherent Full-Body Poses Estimated Using Only Five Inertial Sensors: Deep versus Shallow Learning. - Frank J. Wouda; Matteo Giuberti; Nina Rudigkeit; Bert-Jan F. van Beijnum; Mannes Poel; Peter H. Veltink (Sensors, 2019)