Prediction of Lower Extremity Movement by Cyclograms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F12%3A00193300" target="_blank" >RIV/68407700:21460/12:00193300 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Prediction of Lower Extremity Movement by Cyclograms

Original language description

Human gait is nowadays undergoing extensive analysis. Predictions of leg movements can be used form orthosis and prosthesis programming, and also for rehabilitation. Our work focuses on predicting human gait with the user of angle-angle diagrams, also called cyclograms. In conjunction with artificial intelligence, cyclograms offer a wide area of medial applications. we have identified cyclogram characteristics such as the slope and the area of the cyclogram for a neural network learning algorithm. Neural network learned by cyclograms offer wide applications in prosthesis control systems.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/VG20102015002" target="_blank" >VG20102015002: Flexiguard</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Acta Polytechnica

ISSN

1210-2709

e-ISSN

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Volume of the periodical

52

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

51-60

UT code for WoS article

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EID of the result in the Scopus database

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