The invention relates to the technical field of mechanical arm control, and discloses a mechanical arm continuous control method based on bioelectricity
signal recognition, and the method comprises the steps: collecting electromyographic signals of an
arm muscle group, and carrying out filtering and denoising
processing on the electromyographic signals; and the filtered and denoised electromyographic signals are converted into mechanical arm
control parameters through the correlation mapping relation model, interpolation optimization based on control continuity is conducted on the mechanical arm
control parameters, the mechanical arm
control parameters are converted into joint torque parameters and
tail end torque parameters, and mechanical arm control is conducted. According to the method,
feature extraction is conducted on the filtered and denoised electromyographic signals through a correlation mapping relation model,
time domain features and
frequency domain features are extracted respectively, features representing electromyographic
signal modes and features representing
signal amplitudes are mapped into mechanical arm control parameters, and the mechanical arm control parameters are calculated based on an error value sequence after interpolation optimization. And nonlinear optimization is carried out on mechanical arm control parameters, a more continuous and smooth optimization result is obtained, and mechanical arm continuous control based on bioelectricity signal recognition is achieved.