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Wyszukujesz frazę "human gait" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Gait pattern generator for control of a lower limb exoskeleton
Autorzy:
Grzelczyk, D.
Szymanowska, O.
Awrejcewicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/127689.pdf
Data publikacji:
2018
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
human gait
exoskeleton
central pattern generator
chód człowieka
egzoszkielet
centralny generator wzorca
Opis:
The aim of the study was to propose a relatively simple central pattern generator (CPG) model, which can be used to control a lower limb exoskeleton. The mentioned generator and the simulation model of the human gait were developed based on experimental observations of the healthy volunteer's gait recorded using a motion tracking system. In order to reproduce the correct movements of the exoskeleton segments, time series of angles in the joints corresponding to the hip and knee joints were calculated based on tracing the trajectories generated by the CPG and the inverse kinematic relations. The proposed model can be implemented to control the lower limb (extremity) exoskeleton and assist various types of gait abnormality in patients with different motor dysfunction by means of changing the parameters of the control system. The presented experimental data, the developed gait simulation model, and the results of numerical simulations can be treated as guidelines for further improvement of the proposed model and its application in the exoskeleton control system. Although the study is mainly focused on rehabilitation applications, the proposed model is general and can be used also for other purposes such as control of bipedal and multi-legged robots.
Źródło:
Vibrations in Physical Systems; 2018, 29; 1-10
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
People identification based on dynamic determinants of human gait
Autorzy:
Michałowska, M.
Walczak, T.
Grabski, J. K.
Cieślak, M.
Powiązania:
https://bibliotekanauki.pl/articles/128208.pdf
Data publikacji:
2018
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
people identification
human gait
force plate
artificial neural networks
rozpoznawanie osób
chód człowieka
platforma siłowa
sztuczne sieci neuronowe
Opis:
In the paper a way of people identification, based on ground reaction forces during gait, is presented. The authors established that each individual has an unique gait pattern that can be described by quantitative parameters, calculated using measurements coming from the force plates. Fifteen volunteers took part in this study. Each person walked barefoot at least 100 times through 10-m-long walkway with the force plates built in. Determinants were calculated based on vertical and anterior-posterior components of the ground reaction force. The obtained parameters were used as an input matrix of the artificial neural network designed for identification of each person. Effectiveness of the recognition was assessed as root mean square error between expected and obtained output values. It was proved, that human identification based on presented determinants of the gait and artificial neural network is possible at a high level.
Źródło:
Vibrations in Physical Systems; 2018, 29; 1-6
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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