| Literature DB >> 35056173 |
Penghua Zhu1,2, Jie Zhu1,2, Xiaofei Xue1, Yongtao Song1.
Abstract
Recently, the stretchable piezoresistive composites have become a focus in the fields of the biomechanical sensing and human posture recognition because they can be directly and conformally attached to bodies and clothes. Here, we present a stretchable piezoresistive thread sensor (SPTS) based on Ag plated glass microspheres (Ag@GMs)/solid rubber (SR) composite, which was prepared using new shear dispersion and extrusion vulcanization technology. The SPTS has the high gauge factors (7.8~11.1) over a large stretching range (0-50%) and approximate linear curves about the relative change of resistance versus the applied strain. Meanwhile, the SPTS demonstrates that the hysteresis is as low as 2.6% and has great stability during 1000 stretching/releasing cycles at 50% strain. Considering the excellent mechanical strain-driven characteristic, the SPTS was carried out to monitor posture recognitions and facial movements. Moreover, the novel SPTS can be successfully integrated with software and hardware information modules to realize an intelligent gesture recognition system, which can promptly and accurately reflect the produced electrical signals about digital gestures, and successfully be translated into text and voice. This work demonstrates great progress in stretchable piezoresistive sensors and provides a new strategy for achieving a real-time and effective-communication intelligent gesture recognition system.Entities:
Keywords: Ag@GMs/SR composite; gesture recognition; high gauge factor; low hysteresis; stretchable piezoresistive sensor
Year: 2021 PMID: 35056173 PMCID: PMC8780386 DOI: 10.3390/mi13010007
Source DB: PubMed Journal: Micromachines (Basel) ISSN: 2072-666X Impact factor: 2.891
Figure 1(a) The preparation process of the stretchable piezoresistive thread sensor (SPTS). (b) The SEM images of the SPTS. (c) The size distribution diagram of the Ag@GMs. (d) The various states of the SPTS were demonstrated including entangled, tied, and stretched.
Figure 2(a) The tensile-resistance sensing mechanism of the SPTS. (b) The strain distributions for the SR and SPTS being stretched force. (c) Curves of relative change in resistance against the different stretched and released strains. (d) Responsive behaviors of the SPST at different stretching amounts. (e) The current-voltage curves of the SPTS for tensile strain in the range of 0–50%. (f) The correlation between the relative variation in resistance versus tensile speeds. (g) Stability test during 1000 cycles at operating strain of 50%.
Figure 3(a) The SPTS was fixed on a human finger and wrist for posture recognition. Dependence of the acquired electrical signals on the bending angles of (b) finger and (c) wrist. (d) The SPTS was attached on the facial skin for investigating relevant dynamic facial expression. Acquired electrical signals from (e) chin moving and (f) mouth opening.
Figure 4The SPTS-based intelligent sign language translation system. (a) Implementation scheme. (b) Flow chart. (c) Actual photograph.
Figure 5(a) Output distributions of electrical signals corresponding to five digital gestures (0, 1, 2, 3, 4 and 5). (b) Photograph of the five fingers completely extended initial state. (c) Gestures of 0 and 3 were translated into text and voice.