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      Human Somatosensory Processing and Artificial Somatosensation

      review-article
      1 , 2 , 1 , 2 , 3 , 1 , 2 , 3 ,
      Cyborg and Bionic Systems
      AAAS

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          Abstract

          In the past few years, we have gained a better understanding of the information processing mechanism in the human brain, which has led to advances in artificial intelligence and humanoid robots. However, among the various sensory systems, studying the somatosensory system presents the greatest challenge. Here, we provide a comprehensive review of the human somatosensory system and its corresponding applications in artificial systems. Due to the uniqueness of the human hand in integrating receptor and actuator functions, we focused on the role of the somatosensory system in object recognition and action guidance. First, the low-threshold mechanoreceptors in the human skin and somatotopic organization principles along the ascending pathway, which are fundamental to artificial skin, were summarized. Second, we discuss high-level brain areas, which interacted with each other in the haptic object recognition. Based on this close-loop route, we used prosthetic upper limbs as an example to highlight the importance of somatosensory information. Finally, we present prospective research directions for human haptic perception, which could guide the development of artificial somatosensory systems.

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                Author and article information

                Contributors
                Journal
                Cyborg Bionic Syst
                Cyborg Bionic Syst
                CBSYSTEMS
                Cyborg and Bionic Systems
                AAAS
                2097-1087
                2692-7632
                2021
                2 July 2021
                : 2021
                : 9843259
                Affiliations
                1Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
                2School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
                3Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
                Author information
                https://orcid.org/0000-0002-9488-4040
                https://orcid.org/0000-0003-2215-0459
                https://orcid.org/0000-0001-5398-8428
                Article
                10.34133/2021/9843259
                9494715
                36285142
                79b0aee6-8792-4ff9-bef7-36dcd642b9f0
                Copyright © 2021 Luyao Wang et al.

                Exclusive Licensee Beijing Institute of Technology Press. Distributed under a Creative Commons Attribution License (CC BY 4.0).

                History
                : 19 January 2021
                : 30 April 2021
                Funding
                Funded by: JST FOREST Program
                Award ID: JPMJFR2041
                Funded by: Japan Society for the Promotion of Science
                Award ID: JP20K07722
                Award ID: JP18H01411
                Funded by: Beijing Municipal Science and Technology Commission
                Award ID: Z191100010618004
                Funded by: National Natural Science Foundation of China
                Award ID: 81671776
                Award ID: 61727807
                Funded by: National Key R&D Program of China
                Award ID: 2018YFC1314502
                Award ID: 2018YFC0115400
                Categories
                Review Article

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