Gabriella OLMO

Polytechnic University of Turin

Italy

Research Interests

Explore related searches

Professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (8)

innocenzo rainero

University of Turin

ITALY

View details

Lorenzo Martini

Polytechnic University of Turin

ITALY

View details

Lorenzo Priano

MD, neurologist, Head of Neurology and Neurorehabilitation Unit

IRCCS Istituto Auxologico Italiano

ITALY

View details

Roberta Bardini

Assistant Professor (RTD-A)

Polytechnic University of Turin

ITALY

View details

César Asensio

Universidad Politécnica de Madrid

SPAIN

View details

Carlos Andrés Ramos Romero

University of Salford

UNITED KINGDOM

View details

Andrés Cárdenas

Associate Professor

Universitat Politècnica de Catalunya

SPAIN

View details

FLORENC DEMROZI

Associate Professor in Biomedical Engineering

University of Stavanger

NORWAY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Gabriella OLMO

Research Interests

Explore related searches

Contact this professor

Articles (10)

Edge-based freezing of gait recognition in Parkinson’s disease

Automatic Detection of Cognitive Impairment Through Facial Emotion Analysis

A Data-Driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease

Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states

Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study

Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers

Deep Learning for hand tracking in Parkinson’s Disease video-based assessment: Current and future perspectives

Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review

Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease

Collaborators (8)

innocenzo rainero

Lorenzo Martini

Lorenzo Priano

Roberta Bardini

César Asensio

Carlos Andrés Ramos Romero

Andrés Cárdenas

FLORENC DEMROZI

Make your next move.