Editors' ChoicePROSTHETIC DEVICES Deciphering the mechanoreceptor network of human hands Li-Hsin HanDepartment of Mechanical Engineering & Mechanics, Drexel University, Philadelphia, PA 19104, USA. Email: lh573{at}drexel.edu See allHide authors and affiliations Science Translational Medicine 26 Jun 2019:Vol. 11, Issue 498, eaax9569DOI: 10.1126/scitranslmed.aax9569 Li-Hsin Han Department of Mechanical Engineering & Mechanics, Drexel University, Philadelphia, PA 19104, USA. Email: Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: lh573@drexel.edu Article Info & Metrics eLetters Article Information vol. 11 no. 498 DOI: https://doi.org/10.1126/scitranslmed.aax9569 Published By: American Association for the Advancement of Science Print ISSN: 1946-6234 Online ISSN: 1946-6242 History: . Copyright & Usage: Copyright © 2019, American Association for the Advancement of Science Author Information Li-Hsin HanDepartment of Mechanical Engineering & Mechanics, Drexel University, Philadelphia, PA 19104, USA. Email: lh573{at}drexel.edu Altmetric Article usage Article lifetimeLast 6 monthsThis monthArticle usage: June 2019 to January 2021 AbstractFullPdf Jun 20198615914 Jul 2019626772 Aug 20194631 Sep 20192440 Oct 201918330 Nov 20195400 Dec 20199441 Jan 20203250 Feb 20206300 Mar 20204300 Apr 20203290 May 20203260 Jun 20202600 Jul 20201620 Aug 20202800 Sep 20202560 Oct 20204360 Nov 20204460 Dec 20206610 Jan 20212210 View Full Text
Deciphering the mechanoreceptor network of human hands By Li-Hsin Han Science Translational Medicine26 Jun 2019 Machine learning based on gloves with tactile sensor arrays helps scientists understand the complex patterns of hand grasping.
Deciphering the mechanoreceptor network of human hands By Li-Hsin Han Science Translational Medicine26 Jun 2019 Machine learning based on gloves with tactile sensor arrays helps scientists understand the complex patterns of hand grasping.