fig5

High-performance, noninvasive flexible sensing array for gesture and handwriting recognition assisted by machine learning

Figure 5. Response of the flexible sensing array to different hand motions. (A1) Raw signal of 10 repetition cycles of hand movement “0”, (A2) 3 Hz low-pass-filtered signal of 10 repetition cycles of hand movement “0”, (A3) fast-pass filtered signal of hand movement “0” for 10 repetition cycles using a 3 Hz high-pass filtered signal; (B) Fast Fourier transform (a.u., arbitrary units) of the hand movement “0” signal; (C and D) three repetition cycles of the original signals of different hand movements; (E) Response times of different hand movements; (F) PSD curves from channel 6 for the nine different motions; (G) PSD curves for 10 repetition cycles of hand motion “0” for channel 6; (H) Mapping of different hand motion features in the 2D plane; (I) RMS of channel 6 for the detection of different hand motions; (J) SD of the rate of change of the output signals for the steady-state and motion states of the nine different hand motions. PSD: Power spectral density; RMS: root-mean-square; SD: standard deviation.

Soft Science
ISSN 2769-5441 (Online)

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