Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 12, Issue 21, Pages 23764-23773Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.0c08114
Keywords
MWNTs/PDMS fibers; smart glove; wearable device; strain sensor; temperature sensor
Funding
- National Natural Science Foundation of China [21775117]
- Natural Science Foundation of Shaanxi Province, China [2020JC-06]
- High-Level Returned Overseas Students Foundation [[2018] 642]
- National Key R&D Program of China [2018YFC1707700]
- Fundamental Research Funds for the Central Universities [PY3A081, xjh012019044]
- Engineering Research Center of Clinical Functional Materials and Diagnosis & Treatment Devices of Zhejiang Province [WIUCASK19001]
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Flexible wearable devices have proven to be emerging tools for motion monitoring, personal healthcare, and rehabilitation training. The development of a multifunctional, flexible sensor and the integration of sensors and a smart chip for signal reading and transmission play a critical role in building a smart wearable device. In this work, a smart glove based on multiwalled carbon nanotubes/poly(dimethylsiloxane) (MWNTs/PDMS) fibers is developed for gesture and temperature recognition. First, the well-tunable, stretchable, and thermal-sensitive MWNTs/PDMS fibers are fabricated via a facile and cost-effective one-step extrusion method. The obtained fibers exhibit an outstanding linear relationship between resistance change and strain in the range of 0-120% and excellent cyclic stability and durability after 20 000 cycles of 50% tension. They also present a linear relationship of resistance change and temperature of 0.55% degrees C-1 with a correlation coefficient of 0.998 in the range of 0-100 degrees C. The fibers, as parts of wearable sensors, are then integrated into a smart glove along with a custom-made data acquisition chip to recognize finger dexterity, gestures, and temperature signals and output them through a screen display, an audio system, and Bluetooth transmission. The highly integrated, low-cost, and multifunctional glove holds great potential for various applications, such as sign language recognition, rehabilitation training, and telemedicine in the Internet-of-Things era.
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