Wrinkle-Enabled Highly Stretchable Strain Sensors for Wide-Range Health Monitoring with Big Data Cloud Platform

Research output: Contribution to journalArticle



  • Jian Huang
  • Jian Zhou
  • Yangmei Luo
  • Gan Yang
  • Yi Liu
  • Yiping Shen
  • Yong Xu
  • Honglang Li
  • Lingbo Yan
  • Guanhua Zhang
  • Richard Fu
  • Huigao Duan

External departments

  • Hunan University
  • Hunan University of Science and Technology


Original languageEnglish
Pages (from-to)43009–43017
JournalACS Applied Materials and Interfaces
Issue number38
Early online date28 Aug 2020
Publication statusPublished - 23 Sep 2020
Publication type

Research output: Contribution to journalArticle


Flexible and stretchable strain sensors are vital for emerging fields of wearable and personal electronics, but it is a huge challenge for them to possess both wide-range measurement capability and good sensitivity. In this study, a highly stretchable strain sensor with a wide strain range and a good sensitivity is fabricated based on smart composites of carbon black (CB)/wrinkled Ecoflex. The sensor exhibits a maximum recoverable strain up to 500% and a high gauge factor of 67.7. It has a low hysteresis, a fast signal response (as short as 120 ms) and a high reproducibility (up to 5000 cycles with a strain of 150%). The sensor is capable of detecting and capturing wide-range human activities, from speech recognition, pulse monitoring, to vigorous motions. It is also applicable for real-time monitoring of robot movements and vehicle security crash in an anthropomorphic field. More importantly, the sensor is successfully used to send signals of a volunteer's breathing data to a local hospital in real time through a big-data cloud platform. This research provides the feasibility using strain sensor for wearable internet of things and demonstrates its exciting prospect for healthcare applications.