Stefano Corazza

ORCID: 0009-0000-1761-4955
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About
Contact & Profiles
Research Areas
  • Human Pose and Action Recognition
  • Human Motion and Animation
  • Hand Gesture Recognition Systems
  • Winter Sports Injuries and Performance
  • Sports Dynamics and Biomechanics
  • Lower Extremity Biomechanics and Pathologies
  • Sports Performance and Training
  • Sports injuries and prevention
  • Vibration and Dynamic Analysis
  • Robotic Locomotion and Control
  • Shoulder Injury and Treatment
  • Diabetic Foot Ulcer Assessment and Management
  • Gait Recognition and Analysis
  • Spinal Cord Injury Research
  • Wave and Wind Energy Systems
  • Mechanics and Biomechanics Studies
  • Mechanical stress and fatigue analysis
  • Balance, Gait, and Falls Prevention
  • Structural Analysis and Optimization
  • Cerebral Palsy and Movement Disorders
  • Thermal Analysis in Power Transmission
  • Maritime Navigation and Safety
  • Advanced machining processes and optimization
  • Laser-Plasma Interactions and Diagnostics
  • Migration, Identity, and Health

Politecnico di Milano
2024

Stanford University
2005-2011

University of Padua
2001-2009

A clinically important task in diabetes management is the prevention of hypo/hyperglycemic events. In this proof-of-concept paper, we assess feasibility approaching problem with continuous glucose monitoring (CGM) devices. particular, study possibility to predict ahead time levels by exploiting their recent history monitored every 3 min a minimally invasive CGM system, Glucoday, 28 type 1 diabetic volunteers for 48 h. Simple prediction strategies, based on description past data either...

10.1109/tbme.2006.889774 article EN IEEE Transactions on Biomedical Engineering 2007-04-24

Abstract Over the centuries evolution of methods for capture human movement has been motivated by need new information on characteristics normal and pathological movement. This study was in part clinical approaches treatment prevention diseases that are influenced subtle changes patterns These require to measure accurately locomotion without risk artificial stimulus producing unwanted artifacts could mask natural motion. Most common accurate three-dimensional a laboratory environment...

10.1186/1743-0003-3-6 article EN cc-by Journal of NeuroEngineering and Rehabilitation 2006-03-15

A novel approach for accurate markerless motion capture combining a precise tracking algorithm with database of articulated models is presented. The employs an iterative closest point soft-joint constraints body segments in visual hull sequences. derived from combination human shapes and anthropometric data, contains large variety closely mimics variations found the population. provides that match outer appearance hulls, e.g. matches overall height volume. This information paired kinematic...

10.1109/cvpr.2007.383302 article EN 2009 IEEE Conference on Computer Vision and Pattern Recognition 2007-06-01

Increasing the coefficient of friction shoe-surface interaction has been shown to lead increased incidence anterior cruciate ligament (ACL) injuries, but causes for this increase are unknown. Previous studies indicate that specific biomechanical measures during landing associated with an risk ACL injury.At foot contact a sidestep cutting task, subjects use different movement strategies conditions high (COF) relative low condition. Specifically, study tested significant differences in knee...

10.1177/0363546509348374 article EN The American Journal of Sports Medicine 2010-03-01

Abstract Background The prevalence of diabetes mellitus has reached epidemic proportions, this condition may result in multiple and chronic invalidating long term complications. Among these, the diabetic foot, is determined by simultaneous presence both peripheral neuropathy vasculopathy that alter biomechanics foot with formation callosity ulcerations. To diagnose treat crucial to understand complex kinematics. Most gait analysis protocols represent entire as a rigid body connected shank....

10.1186/1743-0003-6-37 article EN cc-by Journal of NeuroEngineering and Rehabilitation 2009-10-23

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> A novel approach for the automatic generation of a subject-specific model consisting morphological and joint location information is described. The aim to address need efficient accurate markerless motion capture (MMC) biomechanical studies. algorithm applied expanded on previous work human shapes space <citerefgrp><citeref refid="ref1"/></citerefgrp> by embedding ten centers in free-form...

10.1109/tbme.2008.2002103 article EN IEEE Transactions on Biomedical Engineering 2008-12-03

Accurate subject-specific body segment parameters (BSPs) are necessary to perform kinetic analyses of human movements with large accelerations, or no external contact forces moments. A new automated topographical image-based method estimating mass, center mass (CM) position, and moments inertia is presented. Body geometry volume were measured using a laser scanner, then an pose shape registration algorithm segmented the scanned surface, identified joint (JC) positions. Assuming constant...

10.1115/1.4000155 article EN Journal of Biomechanical Engineering 2009-09-04

The most common methods for accurate capture of three-dimensional human motion require a laboratory environment and the attachment markers or fixtures to body segments. These conditions can cause unknown experimental artifacts. Thus our understanding normal pathological movement would be enhanced by method that allows without constraint placed on body. Markerless are not widely available because is technically challenging. A reported constructing body's visual hull using...

10.1117/12.587970 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2005-01-17

Modern biomechanical and clinical applications require the accurate capture of normal pathological human movement without artifacts associated with standard marker-based motion techniques such as soft tissue risk artificial stimulus taped-on or strapped-on markers. In this study, need for new markerless methods is discussed in view applications. Three different approaches estimating from multiple image sequences were explored. The first two tracked a 3D articulated model representations...

10.1117/12.650854 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2006-02-02

Tennis, is a globally popular sport enjoyed by approximately 25 million people worldwide. While recreational and professional tennis offer numerous health benefits, innovations in racquet technology improved training methods have recently placed greater emphasis on increased power ball velocity. Following this change, the number injuries has risen to an estimated 10 per 1,000 hours played [1].

10.1115/sbc2009-206376 article EN ASME 2008 Summer Bioengineering Conference, Parts A and B 2009-06-17

Background The tennis serve is the most common stroke in and single associated with musculoskeletal injury tennis. Previous investigations have utilised marker-based systems which are prone to error also not evaluated all three types of serves. Objective Utilise a novel markerless video system determine whether kick slice serves produced greater forces/torques about torso upper extremity versus flat serve. Design Single recording session. Setting Outdoor regulation court. Participants Seven...

10.1136/bjsm.2011.084038.66 article EN British Journal of Sports Medicine 2011-03-27
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