Triboelectrification based motion sensor for human-machine interfacing.
We present triboelectrification based, flexible, reusable, and skin-friendly dry biopotential electrode arrays as motion sensors for tracking muscle motion and human-machine interfacing (HMI). The independently addressable, self-powered sensor arrays have been utilized to record the electric output signals as a mapping figure to accurately identify the degrees of freedom as well as directions and magnitude of muscle motions. A fast Fourier transform (FFT) technique was employed to analyse the frequency spectra of the obtained electric signals and thus to determine the motion angular velocities. Moreover, the motion sensor arrays produced a short-circuit current density up to 10.71 mA/m(2), and an open-circuit voltage as high as 42.6 V with a remarkable signal-to-noise ratio up to 1000, which enables the devices as sensors to accurately record and transform the motions of the human joints, such as elbow, knee, heel, and even fingers, and thus renders it a superior and unique invention in the field of HMI.
School of Materials Science and Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332-0245, United States.
Weiqing
W
Yang
Jun
J
Chen
Xiaonan
X
Wen
Qingshen
Q
Jing
Jin
J
Yang
Yuanjie
Y
Su
Guang
G
Zhu
Wenzuo
W
Wu
Zhong Lin
ZL
Wang
D004560:Electricity; D004566:Electrodes; D006801:Humans; D007596:Joints / Q000502:physiology; D009038:Motion; D036103:Nanotechnology / Q000295:instrumentation*; D059629:Signal-To-Noise Ratio