Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/63983
Title: Human intention recognition to control the lower-limb of exoskeleton
Authors: Chin, Hock Yong
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2015
Abstract: The assistive robotic exoskeleton for gait rehabilitation has drawn much attention recently due to their potential in assisting stroke and spinal cord injury patients to perform gait motion. However the stability of the robotic exoskeleton is the biggest concern which limits their practical usage so as to ensure the safety of user and would not fall while walking with it. The most important thing of robotic exoskeleton is to get human intention and determine the gait phase which require the data for foot contact of exoskeleton with ground. The data collection is using Flexiforce sensor. To overcome this problem, the robotic exoskeleton is developed together with a balance stabilizer mechanism in order to increase the stability and safety of the exoskeleton. The main focus of this report is to develop the control system for the device. The work is divided into two parts. In the first part, the gait motion of robotic exoskeleton is being developed and improved. In the second part, an algorithm for better manipulation of electric motor is being developed.
URI: http://hdl.handle.net/10356/63983
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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