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      c 2 AIDER: cognitive cloud exoskeleton system and its applications

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          Abstract

          Lower extremity exoskeleton systems have been widely applied in walking assistance, rehabilitation, and augmentation-related applications merely through human-exoskeleton movement collaboration, which cannot analyse cognitive load and pressure of pilots. Cognitive exoskeleton systems can reinforce cognitive cooperation of the human-exoskeleton systems through perception and assessment. Cognitive cloud exoskeleton systems can enhance the ability of the continuous learning and transfer learning of the exoskeleton systems through cloud brain platform. This paper presents a cognitive cloud exoskeleton system Cognitive Cloud AssItive DEvice for paralysed patient ( c 2 AIDER). The main idea is that the cooperation between the c 2 AIDER system and pilots is more intelligent and natural through cloud brain platform, which can achieve high-performance computing thus providing better walking assistance for pilots.

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          Human-Robot Interaction: A Survey

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            An atlas of physical human–robot interaction

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              Review of assistive strategies in powered lower-limb orthoses and exoskeletons

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                Author and article information

                Contributors
                Journal
                CCS
                Cognitive Computation and Systems
                Cogn. Comput. Syst.
                The Institution of Engineering and Technology
                2517-7567
                25 February 2019
                16 May 2019
                July 2019
                : 1
                : 2
                : 33-39
                Affiliations
                Center for Robotics, University of Electronic Science and Technology of China , No.2006 of Xiyuan Avenue, Chengdu, People's Republic of China
                Article
                CCS.2018.0012 CCS.2018.0012.R1
                10.1049/ccs.2018.0012

                This is an open access article published by the IET in partnership with Shenzhen University under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

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                Pages: 0
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                Research Article

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