Biosymbiotic haptic feedback - Sustained long term human machine interfaces
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 ti...
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Published in | Biosensors & bioelectronics Vol. 261; p. 116432 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier B.V
01.10.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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.
•Continuous haptic feedback with high spatial resolution via adhesive-free biosymbiotic device architectures.•Continuous, neural net enabled multimodal closed-loop haptic feedback for assistive and therapeutic applications.•Demonstration of advanced learning outcomes through haptics for minimally invasive surgery training and postural reeducation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0956-5663 1873-4235 1873-4235 |
DOI: | 10.1016/j.bios.2024.116432 |