Super-resolution sparse projected capacitive multitouch sensing

Mehrdad Yaghoobi, Stephen McLaughlin, Mike E.davies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


The resolution of capacitive touch sensors is not sufficient for some sensing applications. The coarse resolution of a sensor with a regular grid is limited by the half distance between two adjacent layer-crossovers. Increasing the density of such layer-crossovers, improves the resolution of touch signals. While this technique needs some modification in the hardware, it does not necessarily guarantee that the corresponding estimated touch locations are more accurate. We explore the problem of resolution enhancement for the multitouch sensors here, using the sparsity pattern of the touch signals. This is called the super-resolution as the goal is to enhance the sensor resolution, while not changing the sensing hardware, and only incorporates some prior information about the input. The super-resolution problem can be computationally very costly. The aim is to present a rather simple algorithm to run in the real-time. This has been achieved by exploiting a structured sparse representation, which allows a computationally simple superresolution algorithm.

Original languageEnglish
Title of host publicationIET Intelligent Signal Processing Conference 2013 (ISP 2013)
Edition619 CP
Publication statusPublished - 2013
EventIET Intelligent Signal Processing Conference 2013 - London, United Kingdom
Duration: 2 Dec 20133 Dec 2013

Publication series

NameIET Conference Publications


ConferenceIET Intelligent Signal Processing Conference 2013
Abbreviated titleISP 2013
Country/TerritoryUnited Kingdom


  • Multitouch
  • Sparse signal models
  • Structured sparse signals
  • Super-resolution
  • Touchscreens

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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