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Biosymbiotic haptic feedback - Sustained long term human machine interfaces.

Author information

Affiliations

  • 1. Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA.
      Authors
    • Tyree A 1
    • Bhatia A 1
    • Hanna J 1
    • Kasper KA 1
    • Good B 1
    • Perez D 1
    • Hunt A 1
    • Sathishkumaraselvam V 1
    • Hoffman JP 1
    (9 authors)
  • 2. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 85721, USA.
      Authors
    • Hong M 2
    • Govalla DN 2
    (2 authors)
  • 3. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 85721, USA; Bio5 Institute, University of Arizona, Tucson, AZ, 85721, USA.
      Authors
    • Rozenblit JW 3
    (1 author)
  • 4. Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA; Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 85721, USA; Bio5 Institute, University of Arizona, Tucson, AZ, 85721, USA; Neroscience GIDP, University of Arizona, Tucson, AZ, 85721, USA.
      Authors
    • Gutruf P 4
    (1 author)

ORCIDs linked to this article

Biosensors & Bioelectronics, 01 Jun 2024, 261:116432
https://doi.org/10.1016/j.bios.2024.116432 PMID: 38861810 

Abstract 

Haptic technology permeates diverse fields and is receiving renewed attention for VR and AR applications. Advances in flexible electronics, facilitate the integration of haptic technologies into soft wearable systems, however, because of small footprint requirements face challenges of operational time requiring either large batteries, wired connections or frequent recharge, restricting the utility of haptic devices to short-duration tasks or low duty cycles, prohibiting continuously assisting applications. Currently many chronic applications are not investigated because of this technological gap. Here, we address wireless power and operation challenges with a biosymbiotic approach enabling continuous operation without user intervention, facilitated by wireless power transfer, eliminating the need for large batteries, and offering long-term haptic feedback without adhesive attachment to the body. These capabilities enable haptic feedback for robotic surgery training and posture correction over weeks of use with neural net computation. The demonstrations showcase that this device class expands use beyond conventional brick and strap or epidermally attached devices enabling new fields of use for imperceptible therapeutic and assistive haptic technologies supporting care and disease management.

Full text links 

Read article at publisher's site: https://doi.org/10.1016/j.bios.2024.116432

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