Author(s):
Martins, Maria M. 
; Frizera Neto, Anselmo ; Urendes, Eloy ; Santos, Cristina ; Ceres, R.
Date: 2012
Persistent ID: http://hdl.handle.net/1822/18606
Origin: RepositóriUM - Universidade do Minho
Document details
A novel human-machine interface for guiding : the NeoASAS Smart Walker
Description
In an aging society it is extremely important to develop devices, which can support and aid the elderly in their daily life. This demands tools that extend independent living and promote improved health. In this work it is proposed a new interface approach integrated into a walker. This interface is based on a joystick and it is intended to extract the user’s movement intentions. The interface is designed to be userfriendly, simple and intuitive, efficient and economic, meeting usability aspects and focused on a commercial implementation, but not being demanding at the user cognitive level. Preliminary sets of experiments were performed which showed the sensibility of the joystick to extract navigation commands from the user. These signals presented a higher frequency component that was attenuated by a Benedict-Bordner g-h filter. The presented methodology offers an effective cancelation of the undesired components from joystick data, allowing the system to extract in real-time voluntary user’s navigation commands. Based on this real-time identification of voluntary user’s commands, an approach to the control architecture of the robotic walker is being developed, in order to obtain stable and safe user assisted locomotion.
In an aging society it is extremely important to develop devices, which can support and aid the elderly in their daily life. This demands tools that extend independent living and promote improved health. In this work it is proposed a new interface approach integrated into a walker. This interface is based on a joystick and it is intended to extract the user’s movement intentions. The interface is designed to be userfriendly, simple and intuitive, efficient and economic, meeting usability aspects and focused on a commercial implementation, but not being demanding at the user cognitive level. Preliminary sets of experiments were performed which showed the sensibility of the joystick to extract navigation commands from the user. These signals presented a higher frequency component that was attenuated by a Benedict-Bordner g-h filter. The presented methodology offers an effective cancelation of the undesired components from joystick data, allowing the system to extract in real-time voluntary user’s navigation commands. Based on this real-time identification of voluntary user’s commands, an approach to the control architecture of the robotic walker is being developed, in order to obtain stable and safe user assisted locomotion.
Document Type
Conference Object
Language English
Language English
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