Wheelchair control method based on brain waves and wheelchair control system combined with voice
A control system and control method technology, applied in general control systems, control/regulation systems, electric speed/acceleration control, etc., can solve the problems of inability to control wheelchair movements, reduce travel freedom, and wheelchair mobility, etc., to achieve Ease of modification and maintenance, improvement of automation, and improvement of production efficiency
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[0028] The invention provides a wheelchair control method based on brain waves, comprising the following steps:
[0029]S1: Collect the wheelchair user's brain wave signal, filter out the surrounding noise and power signal interference, and convert the brain wave signal into a brain wave data signal; among the signals extracted from the brain wave, there are 12 different kinds of brain wave signals, including RAW WAVE original brain wave, Delta, Theta, Low Alpha, High Alpha, Low Beta, High Beta, Low Gamma, Mid Gamma, Noise, Attention, Mediation, in these 12 different brain wave signals, collected by RAWWAVE, Attention channel The brain wave signal is used as the reference signal, which is the first choice for the brain wave processing signal;
[0030] S2: Using an average filtering algorithm to filter the brainwave data signal processed in step S1;
[0031] Define sampling value C, accumulator S, average value A, sampling times N,
[0032] Initialization A=initial value, S=A...
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