A psychophysical investigation on vibrotactile sensing for transradial prosthesis users

Figures & data

Figure 1. Dimensions of surface textures under investigation (Texture A—smooth surface, Texture B and C—rough surface, Texture D—very rough surface) (reproduced from Mohamad Hanif et al. (2015)).

Table 1. Descriptions of the vibration patterns and their associated surface textures

Vibration Pattern	Descriptions	Associated Texture
Pattern A	Continuous vibration (1,500 ms–1 cycle)	Texture A
Pattern B	Repeated 250 ms^a pulses with 250 ms^a pauses in between (5 cycles)	Texture B
Pattern C	Repeated 500 ms^a pulses with 250 ms^a pauses in between (3 cycles)	Texture C
Pattern D	Repeated 250 ms^a pulses with 250 ms^a pause in between, then 250 ms^a pulses with 500 ms pause in between, then 250 ms^a pulses with 750 ms^a pauses in between, and finally 250 ms^a pulses with 1,000 ms^a pauses in between (1 cycle)	Texture D

^aApproximate duration.

Figure 2. Brass clip as a mechanical mounting for the vibration motor. Dashed red line is the middle area of the platform where the motor was glued. Both end sides of the platform are thicker than the rest of the platform. The velcro band was weaved between the four slots (reproduced from Mohamad Hanif (2015)).

Figure 3. FFT output of the vibration stimuli.

Figure 4. Vibration device.

Figure 5. Positions of the vibration stimuli, surface textures and other test apparatus for the psychophysical test.

Figure 6. Histogram of selected surface textures with supplied vibration patterns.

Figure 7. Histogram of the follow-up analysis for the surface textures and vibration patterns A and D.

Figure 8. Histogram of the follow-up analysis for the surface textures and vibration patterns B and C.

Mohamad Hanif, N. H. H. , Chappell, P. H. , Cranny, A. , & White, N. M. (2015). Surface texture detection with artificial fingers. In 37th annual international conference of IEEE engineering in medicine and biology society (pp. 8018–8021). Milan, Italy. doi: 10.1109/EMBC.2015.7320253

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Mohamad Hanif, N. H. H. (2015). Sensory feedback for artificial hands . Southampton, England: University of Southampton.

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