4.6 Article

A Novel Method for Vibrotactile Proprioceptive Feedback Using Spatial Encoding and Gaussian Interpolation

Journal

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 70, Issue 12, Pages 3354-3365

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2023.3285850

Keywords

Prosthetics; Wrist; Propioception; Encoding; Vibrations; Gaussian processes; Haptic interfaces; Tactile sensors; Gaussian interpolation; haptics; multichannel stimulation; proprioception; prosthesis; spatial encoding; vibrotactile stimulation

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The bidirectional communication between the user and the prosthesis is crucial in developing prosthetic hands. This study proposes a novel solution to encode wrist rotation using a vibromotor array and Gaussian interpolation of vibration intensity, and systematically evaluates its performance.
Objective: The bidirectional communication between the user and the prosthesis is an important requirement when developing prosthetic hands. Proprioceptive feedback is fundamental to perceiving prosthesis movement without the need for constant visual attention. We propose a novel solution to encode wrist rotation using a vibromotor array and Gaussian interpolation of vibration intensity. The approach generates tactile sensation that smoothly rotates around the forearm congruently with prosthetic wrist rotation. The performance of this scheme was systematically assessed for a range of parameter values (number of motors and Gaussian standard deviation).Methods: Fifteen non-disabled subjects and one individual with congenital limb deficiency used vibrational feedback to control a virtual hand in the target-achievement control test. Performance was assessed by end-point error and efficiency as well as subjective impressions.Results: The results showed a preference for smooth feedback and a higher number of motors (8 and 6 versus 4). With 8 and 6 motors, the standard deviation, determining the sensation spread and continuity, could be modulated through a broad range of values (0.1 - 2) without a significant performance loss. The overall average error and efficiency across these feedback configurations were similar to 10% and similar to 30%, respectively. For low values of standard deviation (0.1-0.5), the number of motors could be reduced to 4 without a significant performance decrease.Conclusion: The study demonstrated that the developed strategy provided meaningful rotation feedback. Moreover, the results indicate that the Gaussian standard deviation could be used as an independent parameter to encode an additional feedback variable.

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