The development of technology makes it possible to create prostheses with an increasing number of degrees of freedom. However, existing devices are still far from replacing the agility and flexibility inherent in a natural limb. The use of surface high-density electromyography can expand the functionality of bionic prostheses by obtaining a large amount of data suitable for analysis. One of the promising directions in the field of artificial limb management is gesture recognition. The technology based on electromyographic signals generated during muscle contractions is called “electromyography pattern recognition.” The application of this method is not limited to the control of prosthetic limbs, but is also used in the development of the human–computer interface and the diagnosis of lesions of the musculoskeletal system. The main purpose of the study was to obtain a high-density electromyography signal, to achieve which the available research on the development and application of flexible electrode arrays was studied, the necessary parameters of the registration system were determined and its prototype was assembled. As part of this work, signals were received when performing gestures with each finger individually, as well as complex gestures. Activation color maps were constructed for each movement, the analysis of which showed that when performing various gestures, activation of various sections of the study area is observed.