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Science Advances

Bend, stretch, and touch: Locating a finger on an actively deformed transparent sensor array

Overview of attention for article published in Science Advances, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
22 news outlets
blogs
2 blogs
twitter
38 X users
facebook
3 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
288 Dimensions

Readers on

mendeley
289 Mendeley
Title
Bend, stretch, and touch: Locating a finger on an actively deformed transparent sensor array
Published in
Science Advances, March 2017
DOI 10.1126/sciadv.1602200
Pubmed ID
Authors

Mirza Saquib Sarwar, Yuta Dobashi, Claire Preston, Justin K. M. Wyss, Shahriar Mirabbasi, John David Wyndham Madden

Abstract

The development of bendable, stretchable, and transparent touch sensors is an emerging technological goal in a variety of fields, including electronic skin, wearables, and flexible handheld devices. Although transparent tactile sensors based on metal mesh, carbon nanotubes, and silver nanowires demonstrate operation in bent configurations, we present a technology that extends the operation modes to the sensing of finger proximity including light touch during active bending and even stretching. This is accomplished using stretchable and ionically conductive hydrogel electrodes, which project electric field above the sensor to couple with and sense a finger. The polyacrylamide electrodes are embedded in silicone. These two widely available, low-cost, transparent materials are combined in a three-step manufacturing technique that is amenable to large-area fabrication. The approach is demonstrated using a proof-of-concept 4 × 4 cross-grid sensor array with a 5-mm pitch. The approach of a finger hovering a few centimeters above the array is readily detectable. Light touch produces a localized decrease in capacitance of 15%. The movement of a finger can be followed across the array, and the location of multiple fingers can be detected. Touch is detectable during bending and stretch, an important feature of any wearable device. The capacitive sensor design can be made more or less sensitive to bending by shifting it relative to the neutral axis. Ultimately, the approach is adaptable to the detection of proximity, touch, pressure, and even the conformation of the sensor surface.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 289 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 24%
Student > Master 43 15%
Researcher 37 13%
Student > Doctoral Student 13 4%
Student > Bachelor 12 4%
Other 35 12%
Unknown 80 28%
Readers by discipline Count As %
Engineering 91 31%
Materials Science 53 18%
Physics and Astronomy 12 4%
Chemical Engineering 10 3%
Chemistry 9 3%
Other 26 9%
Unknown 88 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 212. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2017.
All research outputs
#182,912
of 25,382,440 outputs
Outputs from Science Advances
#1,534
of 12,215 outputs
Outputs of similar age
#3,962
of 322,265 outputs
Outputs of similar age from Science Advances
#29
of 166 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.3. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,265 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.