A Hand-Held Device Presenting Haptic Directional Cues for the Visually Impaired.

assistive device asymmetric vibrations directional cues illusory force sensation

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
12 Oct 2023
Historique:
received: 25 09 2023
revised: 08 10 2023
accepted: 10 10 2023
medline: 30 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

Haptic information is essential in everyday activities, especially for visually impaired people in terms of real-world navigation. Since human haptic sensory processing is nonlinear, asymmetric vibrations have been widely studied to create a pulling sensation for the delivery of directional haptic cues. However, the design of an input control signal that generates asymmetric vibrations has not yet been parameterised. In particular, it is unclear how to quantify the asymmetry of the output vibrations to create a better pulling sensation. To better understand the design of an input control signal that generates haptic directional cues, we evaluated the effect of the pulling sensations corresponding to the three adjustable parameters (i.e., delay time, ramp-down step length, and cut-off voltage) in a commonly applied step-ramp input signal. The results of a displacement measurement and a psychophysical experiment demonstrate that when the quantified asymmetry ratio is in a range of 0.3430-0.3508 with an optimised cut-off voltage for our hand-held device, the haptic directional cues are better perceived by participants. Additionally, the results also showed a superior performance in haptic delivery by shear forces than normal forces.

Identifiants

pubmed: 37896508
pii: s23208415
doi: 10.3390/s23208415
pmc: PMC10611303
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Shuhao Dong (S)

Rehabilitation Robotics Laboratory, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK.

Justin Gallagher (J)

Rehabilitation Robotics Laboratory, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK.

Andrew Jackson (A)

Rehabilitation Robotics Laboratory, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK.

Martin Levesley (M)

Rehabilitation Robotics Laboratory, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK.

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