Page 124 - Read Online
P. 124

Sun et al. Soft Sci. 2025, 5, 18                                          Soft Science
               DOI: 10.20517/ss.2024.77



               Review Article                                                                Open Access



               Human skin-inspired neuromorphic sensors


                                        #
                          #
               Jianfeng Sun , Chenyu Zhang , Chenxi Yang, Yunhao Ren, Binghe Ma, Weizheng Yuan, Tao Ye *
               Ministry of Education Key Laboratory of Micro/Nano Systems for Aerospace, Key Laboratory of Micro and Nano-Electro-
               Mechanical Systems of Shaanxi Province, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an
               710072, Shaanxi, China.
               #
                Authors contributed equally.
               * Correspondence to: Prof. Tao Ye, Ministry of Education Key Laboratory of Micro/Nano Systems for Aerospace, Key Laboratory
               of Micro and Nano-Electro-Mechanical Systems of Shaanxi Province, School of Mechanical Engineering, Northwestern
               Polytechnical University, No.127 Youyi West Road, Beilin District, Xi’an 710072, Shaanxi, China. E-mail: yetao@nwpu.edu.cn
               How to cite this article: Sun, J.; Zhang, C.; Yang, C.; Ren, Y.; Ma, B.; Yuan, W.; Ye, T. Human skin-inspired neuromorphic sensors.
               Soft Sci. 2025, 5, 18. https://dx.doi.org/10.20517/ss.2024.77
               Received: 30 Dec 2024   First Decision: 10 Feb 2025  Revised: 25 Feb 2025  Accepted: 6 Mar 2025  Published: 21 Mar 2025

               Academic Editors: YongAn Huang, Carlo Massaroni   Copy Editor: Pei-Yun Wang   Production Editor: Pei-Yun Wang

               Abstract
               Human skin-inspired neuromorphic sensors have shown great potential in revolutionizing machines to perceive and
               interact with environments. Human skin is a remarkable organ, capable of detecting a wide variety of stimuli with
               high sensitivity and adaptability. To emulate these complex functions, skin-inspired neuromorphic sensors have
               been engineered with flexible or stretchable materials to sense pressure, temperature, texture, and other physical
               or chemical factors. When integrated with neuromorphic computing systems, which emulate the brain’s ability to
               process sensory information efficiently, these sensors can further enable real-time, context-aware responses. This
               study summarizes the state-of-the-art research on skin-inspired sensors and the principles of neuromorphic
               computing, exploring their synergetic potential to create intelligent and adaptive systems for robotics, healthcare,
               and wearable technology. Additionally, we discuss challenges in material/device development, system integration,
               and computational frameworks of human skin-inspired neuromorphic sensors, and highlight promising directions
               for future research.

               Keywords: Skin-inspired sensors, neuromorphic computing, system integration



               INTRODUCTION
               Human skin is one of the most sophisticated and adaptive sensory organs, capable of perceiving a wide
               array of stimuli, such as pressure, temperature, texture, and other physical or chemical factors, with






                           © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

                                                                                        www.oaepublish.com/ss
   119   120   121   122   123   124   125   126   127   128   129