Biosymbiotic Closed-loop Haptic Feedback Platform for Assistive and Therapeutic Applications
Sunday, March 2, 2025 4:00 PM to 4:20 PM · 20 min. (America/New_York)
Room 104B
Organized Session
Bioanalytical & Life Science
Information
Haptic technology is rapidly advancing and finding applications across various fields, particularly virtual and augmented reality. The development of flexible electronics has opened possibilities for integrating haptic technologies into soft wearable systems. However, these systems often face challenges related to operational time due to their small footprint, requiring either large batteries, wired connections, or frequent recharging. These limitations restrict the utility of haptic devices to short-duration tasks or low-duty cycles, preventing their use in continuous assistive applications. This technological gap hinders the exploration of many potential chronic applications.
This work addresses these challenges by proposing a sustainable solution using a biosymbiotic approach. This method enables continuous operation without user intervention through wireless power transfer, eliminating the need for large batteries. It offers long-term haptic feedback without adhesive attachment to the body. We demonstrate the potential for haptic feedback in robotic surgery training and posture correction over extended periods, facilitated by neural network computation. These capabilities expand the use of haptic technologies beyond conventional devices, paving the way for imperceptible therapeutic and assistive applications that can support care and disease management. This work not only advances the field of haptics but also aligns with the broader goal of building a sustainable future by promoting the development of energy-efficient, long-lasting, and user-friendly wearable technologies.
This work addresses these challenges by proposing a sustainable solution using a biosymbiotic approach. This method enables continuous operation without user intervention through wireless power transfer, eliminating the need for large batteries. It offers long-term haptic feedback without adhesive attachment to the body. We demonstrate the potential for haptic feedback in robotic surgery training and posture correction over extended periods, facilitated by neural network computation. These capabilities expand the use of haptic technologies beyond conventional devices, paving the way for imperceptible therapeutic and assistive applications that can support care and disease management. This work not only advances the field of haptics but also aligns with the broader goal of building a sustainable future by promoting the development of energy-efficient, long-lasting, and user-friendly wearable technologies.
Day of Week
Sunday
Session or Presentation
Presentation
Session Number
OC-15-05
Application
Sensors
Methodology
Sensors
Primary Focus
Application
Morning or Afternoon
Afternoon
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Speakers

Aman Bhatia
University Of Arizona