The paper shows the relevance of the task of improving the electric wheelchair control
system for patients with lost or functionally limited upper limbs. A method of indirect control
using voice commands is proposed. At the same time, the biometric principle is used,
according to which, in the process of voice signal analysis, signs that are biometric
parameters of the patient's speech are identified to prevent the operation of the control system
when registering similar commands from outsiders. The main such sign is the value of the
main tone frequency. To process voice signals in order to identify the four main control
commands, namely forward, backward, left and right, the sliding window method is used,
within which the presence of signs of the main tone is evaluated. For a specific person, this
value will be individual and present only in those parts of the voice signal that correspond to
vowels and consonant vocalized sounds. In this way, it is possible to segment the voice signal
into such areas and identify individual voice commands based on pre-set durations of these
areas. A threshold function is also used for this, which takes a certain value when the main
tone frequency is present in the voice signal structure within each implementation of the
sliding window and is equal to zero when there are no signs of this frequency. At the same
time, it became possible to identify individual commands with higher accuracy.Abstract; 1. Introduction; 2. Materials and Methods; 3. Experiment and Results; 4. Conclusion; 5. References
