Mechanical Design Of Prototype Exoskeleton Robotic System For Human Leg Movements And Implementation Of Gait Data With Neural Network
| Autor: | Evren Meltem Toygar, Ahmet Özkurt, Zeki Kıral, Mehmet Çakmakçı, Binnur Gören Kıral, Yavuz Şenol, Taner Akkan, Yusuf Arman, Tolga Olcay, Necati Mutlu Dağhan, Murat Karagöz |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 16, Iss 3 (2012) |
| Druh dokumentu: | article |
| ISSN: | 1301-4048 2147-835X |
| DOI: | 10.5505/saufbe.2012.94899 |
| Popis: | Target of this study is designing a exoskeleton system for single lower extremity disabled person and controlling this exoskeleton system with neural network. Exoskeleton system is modeled by using SolidWorks. At the same time, gait data is acquired on human body and sole is divided four parts after that reaction forces are gauged during the walking. Distributions of strain and deformation are obtained by using experimental gait data. The walking is designed using the obtained data and walking data is derived for control stage. Power requirements of actuators are defined. |
| Databáze: | Directory of Open Access Journals |
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