The Estimation of the Joint Angles of Upper Limb During Walking Using Fuzzy Logic System and Relation Maps

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F15%3A00225044" target="_blank" >RIV/68407700:21460/15:00225044 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7061888" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7061888</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SAMI.2015.7061888" target="_blank" >10.1109/SAMI.2015.7061888</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Estimation of the Joint Angles of Upper Limb During Walking Using Fuzzy Logic System and Relation Maps

Popis výsledku v původním jazyce

The objects of the study including determining the relationships between movements of upper extremities identifying joint angles using a fuzzy logic system (FS). The authors analyzed ranges of joint angles and simple rhythmical movement: swinging segments of walking subjects´ arms moving in-phase (synchronously) or antiphase (reciprocally), and designed fuzzy expert system which has never been described before. The set of data to create and study fuzzy logic for identifying upper extremity angles was measured in ten volunteers. An Xbus Kit system was used to measure upper limb movements. The joint angles in the sagittal plane and angle in the frontal plane were determined and relation maps of the in-phase and antiphase movements in the contralateral and ipsilateral joints were designed. The if-then rules were derived from experimental findings and knowledge about ranges of angles and relations between angles of upper limbs during walking. The estimated values of joint angles were compa

Název v anglickém jazyce

The Estimation of the Joint Angles of Upper Limb During Walking Using Fuzzy Logic System and Relation Maps

Popis výsledku anglicky

The objects of the study including determining the relationships between movements of upper extremities identifying joint angles using a fuzzy logic system (FS). The authors analyzed ranges of joint angles and simple rhythmical movement: swinging segments of walking subjects´ arms moving in-phase (synchronously) or antiphase (reciprocally), and designed fuzzy expert system which has never been described before. The set of data to create and study fuzzy logic for identifying upper extremity angles was measured in ten volunteers. An Xbus Kit system was used to measure upper limb movements. The joint angles in the sagittal plane and angle in the frontal plane were determined and relation maps of the in-phase and antiphase movements in the contralateral and ipsilateral joints were designed. The if-then rules were derived from experimental findings and knowledge about ranges of angles and relations between angles of upper limbs during walking. The estimated values of joint angles were compa

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/VG20102015002" target="_blank" >VG20102015002: Osobní bezpečnostní dohledový systém pro podporu výcviku a zásahu jednotek IZS</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of IEEE 13th International Symposium on Applied Machine Intelligence and Informatics

ISBN

978-1-4799-8220-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

267-272

Název nakladatele

IEEE Hungary Section, University Obuda

Místo vydání

Budapest

Místo konání akce

Herl?any

Datum konání akce

22. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—