In the paper, the possibilities of using the proprioceptive feedback channel “myoelectric prosthesis” – “man” are
analyzed. It is proposed to use tactile human receptors as the “input” of this feedback channel. The results of
assessing the density of tactile receptors allow us to recommend for the location of tactile stimulators on the front
surface of the limb, with the dominant hand more suitable for the location of similar devices. The spatial threshold
allows without loss of quality of information transmission, use relatively simple and low-cost hardware and software
solutions, which are presented in this paper. The implementation of the channel of reverse proprioceptive connection of
the myoelectric prosthesis includes position sensors of the “joints” and “brushes”, an analog-to-digital converter, a
tactile stimulator control device that is a set of servo drives. The informative value of the proprioceptive feedback
channel is estimated depending on the location of the tactile stimulators. It is shown that the total number of errors
did not change during a series of experiments. A user with close probabilities both overestimated and underestimated the
angles of the change in the relative positions of the elements of the myoelectric prosthesis model. With the help of
factor analysis, dependencies were obtained indicating the relationship between the spatial threshold (in mm) and the
number of errors with the determination of which tactile stimulant was working at the present time. Cluster analysis
made it possible to identify a group of users whose high level of anxiety adversely affected the recognition of
information obtained through the proprioceptive feedback channel.
Key words:
computer-human interface, myoelectric prosthesis, proprioceptive feedback
Cite:
Ya. A. Turovsky, Glushchenko A. S., Rybalkin E. A., Pikalov V. V.
Otsenka osvoeniya “propriotseptivno”-taktilnogo kanala obratnoi svyazi protezov verkhnei konechnosti
[Evaluation of the effciency of channel development of proprioceptive feedback for myoelectric prostheses of the upper limb].
Sensornye sistemy [Sensory systems].
2017.
V. 31(4).
P. 322-330 (in Russian).
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