Fuzzy Inference System for Lower Limbs Angles Prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F12%3A00193974" target="_blank" >RIV/68407700:21460/12:00193974 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15510/12:33140586
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2012.6256348" target="_blank" >http://dx.doi.org/10.1109/TSP.2012.6256348</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2012.6256348" target="_blank" >10.1109/TSP.2012.6256348</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Inference System for Lower Limbs Angles Prediction
Original language description
This paper presents an approach of human gait modeling and prediction using fuzzy inference system. In this system, lower limbs motion prediction is simplified by introducing fuzzy knowledge base to describe the whole motion. Our fuzzy knowledge base predicts contralateral lower limb joints angles. The concept of fuzzy knowledge is based on fuzzy membership function that represents knee angle and differences between two consecutive angles and inference by IF-THEN rules. Selected fuzzy rules are emphasized by adding weights. Our final goal is to obtain predictive model of lower limbs movement in such way that it can generalize well with gait of different subjects. Prediction process is exemplified to validate the system in inter-subject generalization.The simulation results of newly designed system show the proposed method to be adequate and effective.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
EI - Biotechnology and bionics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
35th International Conference Telecommunications and Signal Processing
ISBN
978-1-4673-1118-2
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
517-520
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
Prague
Event date
Jul 3, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000308143100099