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Advances on Breathing Based Text Input for Mobile Devices

  • Jackson Feijó FilhoEmail author
  • Wilson Prata
  • Thiago Valle
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9175)

Abstract

This paper highlights the progress of exploring a puffing activated keyboard for mobile phones. This approach aims to stand as an assistive technology for users with motor disabilities. From the implementation of prior versions we were able to identify recurring and persistent issues, such as ambient noise handling and keyboard layout. Some of these issues were detected during the experiments and some were reported by users. The advances achieved in this work are narrated from the outcomes of the implementation and experimentation of a mobile phone application that handles e.g. background noise by performing signal processing and a new keyboard layout.

Keywords

Amyotrophic Lateral Sclerosis Mobile Phone Fast Fourier Transform Speech Recognition Spinal Muscular Atrophy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jackson Feijó Filho
    • 1
    Email author
  • Wilson Prata
    • 1
  • Thiago Valle
    • 1
  1. 1.Nokia Technology InstituteManausBrazil

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