TREMOR CHARACTERIZATION - Algorithms for the Study of Tremor Time Series

Rocón, Eduardo; Ruiz, A. F.; Moreno, Juan C.; Pons, José L.; Miranda, José Ángel Portal; Barrientos, Alejandro

doi:10.5220/0001058603550360

Cited by 4 publications

References 5 publications

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Real time control of the ASBGo walker through a physical human–robot interface

et al. 2014

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In this work it is presented the development of the conceptual design, implementation and validation of a Smart walker with an inexpensive integrated interface. This interface is based on a joystick and it intends to extract the user's command intentions. 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 resulting interaction signals are then classified and converted into motor commands through a fuzzy logic controller. Additionally, the detection of possible falls and instability of the user was also one of the aims integrated onto the overall system architecture. Results have shown that the resultant movement of the walker was constant and safe without bumps. Short enquiries to the users have provided positive feedback about the device maneuverability in terms of easiness to use.

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Real time control of the ASBGo walker through a physical human–robot interface

et al. 2014

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A novel human-machine interface for guiding: The NeoASAS smart walker

Martins

Frizera

Urendes

et al. 2012

2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC)

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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.

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