4.8 Article

Stretchable, Transparent, Ultrasensitive, and Patchable Strain Sensor for Human-Machine Interfaces Comprising a Nanohybrid of Carbon Nanotubes and Conductive Elastomers

Journal

ACS NANO
Volume 9, Issue 6, Pages 6252-6261

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.5b01613

Keywords

stretchable electronics; transparent electronics; strain sensor; single-wall carbon nanotube; human monitoring

Funding

  1. National Research Foundation (NRF) - Ministry of Science, ICT, & Future Planning [2013R1A2A1A01015232]
  2. National Research Foundation of Korea [2013R1A2A1A01015232] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Interactivity between humans and smart systems, including-wearable, body-attachable, or implantable platforms, can be enhanced by realization of multifunctional human machine interfaces, where a variety of sensors collect information about the surrounding environment, intentions, or physiological conditions of the human to which they are attached. Here, we describe a stretchable, transparent, ultrasensitive, and patchable strain sensor that is made of a novel sandwich-like stacked piezoresisitive nanohybrid film of single-wall carbon nanotubes (SWCNTs) and a conductive elastomeric composite of polyurethane (PU)-poly(3,4-ethylenedioxythiophene) polystyrenesulfonate (PEDOT:PSS). This sensor, which can detect small strains on human skin, was created using environmentally benign water-based solution processing. We attributed the tunability of strain sensitivity (i.e., gauge factor), stability, and optical transparency to enhanced formation of percolating networks between conductive SWCNTs and PEDOT phases at interfaces in the stacked PU-PEDOT:PSS/SWCNT/PU-PEDOT: PSS structure. The mechanical stability, high stretchability of up to 100%, optical transparency of 62%, and gauge factor of 62 suggested that when attached to the skin of the face, this sensor would be able to detect small strains induced by emotional expressions such as laughing and crying, as well as eye movement, and we confirmed this experimentally.

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