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Towards a Cognitive Model of Human Mobility: An Investigation of Tactile Perception for use in Mobility Devices

Published online by Cambridge University Press:  14 July 2016

E. Pissaloux*
Affiliation:
(UPMC & Université de Rouen, France)
R. Velazquez
Affiliation:
(Universidad Panamericana, Mexico)
M. Hersh
Affiliation:
(Glasgow University, Scotland)
G. Uzan
Affiliation:
(Université Paris 8, France)
*
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Abstract

This paper reports the results of the first three in a series of experiments on tactile perception which form part of a larger project on tactile perceptions and spatial representations and the design of tactile interfaces for mobility devices for blind, partially sighted and deafblind people. The results indicate the potential of tactile interfaces, including to support environmental exploration and mobility. The participants showed reasonably good ability to determine the direction of motion of an arrow, with best recognition rates in the up and right directions. They showed reasonably good ability to use a tactile interface to detect and avoid obstacles after a very short learning period and more limited ability to learn and remember an environmental representation using information from a tactile interface and walking through the environment without specific instructions.

Information

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2016 
Figure 0

Table 1. Comparison of information from the different senses (adapted from Hersh, 2016).

Figure 1

Figure 1. From left: Robotised smart cane, smart cane (K-Sonar), intelligent canes (UltraCane, TomPouce).

Figure 2

Figure 2. Beacon and receiver for Talking Sign System.

Figure 3

Figure 3. European FP7 HAPTIMAP prototype.

Figure 4

Figure 4. SEES system – an intelligent cane.

Figure 5

Figure 5. Mobility map technologies: thermoformed map (Paris) and concrete map (Hamburg).

Figure 6

Figure 6. PMP: processed data flux (left), user carrying the TactiPad (right), real experiment (lower).

Figure 7

Figure 7. Experimental setup for tactile stimuli cognitive perception.

Figure 8

Table 2. NEWS Direction recognition for 2 patterns and 3 representations of an arrow.

Figure 9

Table 3. Average recognition rates and standard deviations over all directions and shapes.

Figure 10

Figure 8. Two proposed metrics for obstacles awareness quantification.

Figure 11

Figure 9. PMP for obstacle awareness: (left) layout of five obstacles and (right) contact frequency during unconstrained navigation with the TactiPad.

Figure 12

Figure 10. Different representations proposed to a subject as test for space structure reconstruction.