Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

A computer-aided movement analysis system.

S Fioretti¹, T Leo, E Pisani

¹Dipartimento di Elettronica e Automatica, Universitá degli Studi di Ancona, Italy.

IEEE Transactions on Bio-Medical Engineering

|August 1, 1990

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

On paper; in practice: measuring compliance with official pricing policies in a large field study of essential medicines in Indonesia.

Journal of pharmaceutical policy and practice·2025

Same author

Post-procedural fever after transcatheter aortic valve implantation: a retrospective single-centre study.

The Journal of hospital infection·2023

Same author

A data-driven model-free adaptive controller with application to wind turbines.

ISA transactions·2022

Same author

Pitch angle control of a wind turbine operating above the rated wind speed: A sliding mode control approach.

ISA transactions·2019

Same author

Neurocritical Patient Characteristics Related to Brain Death.

Transplantation proceedings·2018

Same author

Automatic Identification of the Repolarization Endpoint by Computing the Dominant T-wave on a Reduced Number of Leads.

The open biomedical engineering journal·2016

Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026

Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026

Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026

Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026

Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026

Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026

See all related articles

Computer-aided movement analysis (CAMA) systems integrate equipment, models, and software for human movement analysis. This study explores CAMA system structures and their clinical acceptance limitations, presenting a posture analysis system.

Area of Science:

Biomechanics
Human Movement Analysis
Clinical Biomechanics

Background:

Human movement analysis requires specialized equipment, models, and data processing techniques.
Integrating these components forms a computer-aided movement analysis (CAMA) system.
Clinical acceptance of movement analysis methods is often limited by system integration challenges.

Purpose of the Study:

To map the integration of CAMA systems onto factors limiting clinical acceptance.
To present the structure of a generalized CAMA system.
To describe a specific CAMA system for posture analysis and report its scientific results.

Main Methods:

Systematic integration of experimental setups, protocols, and software procedures.
Development of a computer-aided movement analysis (CAMA) system architecture.

Related Experiment Videos

Implementation and application of a CAMA system for posture analysis.

Main Results:

Identification of key factors hindering clinical adoption of movement analysis.
Demonstration of a structured CAMA system design.
Presentation of scientific outcomes achieved using the described posture analysis CAMA system.

Conclusions:

Effective integration of components is crucial for CAMA system functionality.
Understanding system limitations can guide improvements for clinical acceptance.
The described CAMA system demonstrates potential for advanced posture analysis in clinical settings.