6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Current Solutions and Future Trends for Robotic Prosthetic Hands

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The desire for functional replacement of a missing hand is an ancient one. Historically, humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal autonomy reasons. The hand is a powerful tool, and its loss causes severe physical and often mental debilitation. Technological advancements have allowed the development of increasingly effective artificial hands, which can improve the quality of life of people who suffered a hand amputation. Here, we review the state of the art of robotic prosthetic hands (RPHs), with particular attention to the potential and current limits of their main building blocks: the hand itself, approaches to decoding voluntary commands and controlling the hand, and systems and methods for providing sensory feedback to the user. We also briefly describe existing approaches to characterizing the performance of subjects using RPHs for grasping tasks and provide perspectives on the future of different components and the overall field of RPH development.

          Related collections

          Most cited references175

          • Record: found
          • Abstract: not found
          • Article: not found

          Development of the World Health Organization WHOQOL-BREF Quality of Life Assessment

          (1998)
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Rubber hands 'feel' touch that eyes see.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Coding and use of tactile signals from the fingertips in object manipulation tasks.

              During object manipulation tasks, the brain selects and implements action-phase controllers that use sensory predictions and afferent signals to tailor motor output to the physical properties of the objects involved. Analysis of signals in tactile afferent neurons and central processes in humans reveals how contact events are encoded and used to monitor and update task performance.
                Bookmark

                Author and article information

                Journal
                Annual Review of Control, Robotics, and Autonomous Systems
                Annu. Rev. Control Robot. Auton. Syst.
                Annual Reviews
                2573-5144
                2573-5144
                May 03 2021
                May 03 2021
                : 4
                : 1
                : 595-627
                Affiliations
                [1 ]Center for Neuroprosthetics and Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, 1202 Genève, Switzerland;
                [2 ]BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
                Article
                10.1146/annurev-control-071020-104336
                1c08f4a7-1669-4fee-8f06-cb13d8b19ab9
                © 2021
                History

                Comments

                Comment on this article