Publication

Endogenous Control of Powered Lower-Limb Exoskeleton

José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu
2017
Conference Papers

Abstract

We present an online decoding method for controlling a powered lower-limb exoskeleton using endogenously generated electroencephalogram (EEG) signals of human users. By performing a series of binary classifications, users control the exoskeleton in three directions: walk front, turn left and turn right. During the first classification phase, the user's intention to either walk front or change direction is detected. If the user's intention to change direction is detected, a subsequent classification for turning left or right is performed. Five subjects were able to successfully complete the 3-way navigation task while mounted in the exoskeleton. We report the improved accuracy of our cascaded protocol over a baseline method.

Official source

https://infoscience.epfl.ch/entities/publication/3244b850-3ae0-4386-8f0c-857536c8b7c1

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José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu
2017
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/3244b850-3ae0-4386-8f0c-857536c8b7c1

About this result

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In the industrial design field of human–computer interaction, a user interface (UI) is the space where interactions between humans and machines occur. The goal of this interaction is to allow effective operation and control of the machine from the human end, while the machine simultaneously feeds back information that aids the operators' decision-making process. Examples of this broad concept of user interfaces include the interactive aspects of computer operating systems, hand tools, heavy machinery operator controls and process controls.

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