Journal article
Soft capacitive tactile sensing arrays fabricated via direct filament casting
Smart materials and structures, v 25(7), pp 75009-75018
01 Jul 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Advances in soft electronics are enabling the development of mechanical sensors that can conform to curved surfaces or soft objects, allowing them to interface seamlessly with the human body. In this paper, we report on intrinsically deformable tactile sensing arrays that achieve a unique combination of high spatial resolution, sensitivity, and mechanical stretchability. The devices are fabricated via a casting process that yields arrays of microfluidic channels in low modulus polymer membranes with thickness as small as one millimeter. Using liquid metal alloy as a conductor, we apply matrix-addressed capacitive sensing in order to resolve spatially distributed strain with millimeter precision over areas of several square centimeters. Due to the use of low-modulus polymers, the devices readily achieve stretchability greater than 500%, making them well suited for novel applications in wearable tactile sensing for biomedical applications.
Metrics
Details
- Title
- Soft capacitive tactile sensing arrays fabricated via direct filament casting
- Creators
- Bin Li - Drexel UniversityYang Gao - Drexel UniversityAdam Fontecchio - Drexel UniversityYon Visell - California NanoSystems Institute
- Publication Details
- Smart materials and structures, v 25(7), pp 75009-75018
- Publisher
- Iop Publishing Ltd
- Number of pages
- 10
- Grant note
- Medical Simulation Center grant from Independence Blue Cross 1446752; 1527709 / NSF; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000381517900012
- Scopus ID
- 2-s2.0-84975215519
- Other Identifier
- 991019168395204721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Instruments & Instrumentation
- Materials Science, Multidisciplinary