Yang S, Cui X, Guo R, Zhang Z, Sang S, Zhang H. Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation.
BEILSTEIN JOURNAL OF NANOTECHNOLOGY 2020;
11:1655-1662. [PMID:
33194515 PMCID:
PMC7653329 DOI:
10.3762/bjnano.11.148]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 10/09/2020] [Indexed: 05/03/2023]
Abstract
The tracking of body motion, such as bending or twisting, plays an important role in modern sign language translation. Here, a subtle flexible self-powered piezoelectric sensor (PES) made of graphene (GR)-doped polyvinylidene fluoride (PVDF) nanofibers is reported. The PES exhibits a high sensitivity to pressing and bending, and there is a stable correlation between bending angle and piezoelectric voltage. The sensitivity can be adjusted by changing the doping concentration of GR. Also, when the PES contacts a source of heat, a pyroelectric signal can be acquired. The positive correlation between temperature and signal can be used to avoid burns. The integrated sensing system based on multiple PESs can accurately recognize the action of each finger in real time, which can be effectively applied in sign language translation. PES-based motion-tracking applications have been effectively used, especially in human-computer interaction, such as gesture control, rehabilitation training, and auxiliary communication.
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