Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 9, Issue 11, Pages 10190-10197Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.7b01771
Keywords
textile sensor; conducting fiber; PEDOT; in situ polymerization; wireless
Funding
- Ministry of Trade, Industry & Energy, Republic of Korea [10048884]
- Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Trade, Industry & Energy, Republic of Kore [20154030200870]
- Basic Research Lab program through the National Research Foundation of Korea
- Ministry of Science, ICT & Future Planning [NRF2014R1A4A1008474]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20174030201800] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [22A20152013024] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Emulation of diverse electronic devices on textile platform is considered as a promising approach for implementing wearable smart electronics. Of particular, the development of multifunctional polymeric fibers and their integration in common fabrics have been extensively researched for human friendly wearable platforms. Here we report a successful emulation of multifunctional body-motion sensors and user-interface (UI) devices in textile platform by using in situ polymerized poly(3,4-ethylenedioxythiophene) (PEDOT)coated fibers. With the integration of PEDOT fibers in a fabric, via an optimization of the fiber pattern design, multifunctional textile sensors such as highly sensitive and reliable strain sensors (with maximum gauge factor of,1), body-motion monitoring sensors, touch sensors, and multilevel strain recognition UI devices were successfully emulated. We demonstrate the facile utilization of the textile-based multifunctional sensors and UI devices by implementing in a wireless system that is capable of expressing American Sign Language through predefined hand gestures.
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